Publications

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2017

  1. Tartaglia EM and Brunel N (2017) Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons. Scientific Reports, 7(1).
  2. Allard R and Arleo A (2017) Factorizing the motion sensitivity function into equivalent input noise and calculation efficiency. Journal of Vision, 17(1):17.
  3. Silvestre D, Cavanagh P, Arleo A and Allard R (2017) Adding temporally localized noise can enhance the contribution of target knowledge on contrast detection. Journal of Vision, 17:1-10.
  4. Allard R and Arleo A (2017) Reducing luminance intensity can improve motion perception in noise. Scientific Reports, 7(February):43140.
  5. Allard R and Arleo A (2017) Photopic motion sensitivity at high temporal frequencies is limited by the dark light of the eye, not quantal noise. In Vision Sciences Society.
  6. Silvestre D, Arleo A and Allard R (2017) Spatiotemporal maps of quantal noise, dark light and late neural noise limiting contrast sensitivity. In Vision Sciences Society.
  7. Ramanoel S, York E, Lagrené K, Habas C and Arleo A (2017) Age-related changes in fuctional connectivity on scene processing and spatial navigation networks. In Neuroscience Workshop Saclay: Neural Circuit and Behavior.
  8. Ramanoel S*, Bécu M*, Tatur G, Lagrené K, Habas C and Arleo A (2017) Age-related changes in spatial learning of a real environment and gray-matter integrety. In Neuroscience Workshop Saclay: Neural Circuit and Behavior (* shared st authorship).
  9. Nael V, Peres K, Carriere I, Daien V, Scherlen AC, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2017) Visual Impairment, Undercorrected Refractive Errors, and Activity Limitations in Older Adults: Findings From the Three-City Alienor Study. Invest. Ophthalmol. Vis. Sci., 58(4):2359-2365.
  10. Agathos CP, Bernardin D, Baranton K, Assaiante C and Isableu B (2017) Drifting while stepping in place in old adults: Association of self-motion perception with reference frame reliance and ground optic flow sensitivity. Neuroscience, 347:134-147.
  11. Tartaglia E, Clarke A and Herzog M (2017) What to choose next? A paradigm for testing human sequential decision making. Frontiers in Psychology, 8:312.
  12. Peyrin C, Ramanoel S, Roux-Sibilon A, Chokron S and Hera R (2017) Scene perception in age-related macular degenration: Effect of spatial frequencies and contrast in residual vision. Vision Research, 130:36-47.

2016

  1. Allard R and Arleo A (2016) Perception of global object motion without integration of local motion signals. In European Conference on Visual Perception.
  2. Jules Étienne C, Arleo A and Allard R (2016) Maximizing noise energy for noise-masking studies. Behavior Research Methods:1-13.
  3. Allard R and Faubert J (2016) The Role of Feature Tracking in the Furrow Illusion. Frontiers in Human Neuroscience, 10:81.
  4. Kheradpisheh SR, Ganjtabesh M and Masquelier T (2016) Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing, 205:382-392.
  5. Portelli G, Barrett JM, Hilgen G, Masquelier T, Maccione A, Di Marco S, Berdondini L, Kornprobst P and Sernagor E (2016) Rank order coding: a retinal information decoding strategy revealed by large-scale multielectrode array retinal recordings. eNeuro, 3(3).
  6. Masquelier T, Portelli G and Kornprobst P (2016) Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports, 6(24086).
  7. Garrido JA, Luque NR, Tolu S and D Angelo E (2016) Oscillation-driven Spike-timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks. International Journal of Neural Systems (in press).
  8. Luque NR, Garrido JA, Naveros F, Carrillo RR, D Angelo E and Ros E (2016) Distributed Cerebellar Motor Learning; a Spike-Timing-Dependent Plasticity Model. Frontiers in Computational Neuronscience (in press).
  9. Ramanoel S, Peyrin C and Dojat M (2016) Vers une cartographie rétinotopique rapide des aires visuelles en IRMf : application chez des sujets jeunes et agés. In Congrès National Imagerie du Vivant - 1ere Edition, Paris, France.
  10. Logiaco L, Quilodra R, Procyk E and Arleo A (2016) Evidence for temporally sensitive and non-linear processing of spiking signals for behavioral update. In Computational and Systems Neuroscience (COSYNE).
  11. Allard R and Arleo A (2016) Position-based vs energy-based motion processing. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  12. Silvestre D, Arleo A and Allard R (2016) Contrast sensitivity: Measuring late internal noise across spatial frequencies. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.

2015

  1. Agathos CP, Bernardin D, Huchet D, Scherlen AC, Assaiante C and Isableu B (2015) Sensorimotor and cognitive factors associated with the age-related increase of visual field dependence: a cross-sectional study. Age (Omaha), 37(4):67.
  2. Agathos CP, Bernardin D, Huchet D, Scherlen A-C and Assaiante CIB (2015) Cognitive and sensorimotor factors associated with visual field dependence in the context of aging. In Actes du 16e Congrès Int. l'Association des Cherch. en Act. Phys. Sport., pages 336-337.
  3. Allard R, Faubert J and Pelli DG (2015) Editorial: Using visual noise to reveal the computations underlying perception. Frontiers in Psychology, 6(1707).
  4. Ramanoel S, Kauffmann L, Cousin E, Dojat M and Peyrin C (2015) Age-related differences in spatial frequency processing during scene categorization. PlosOne.
  5. Kauffmann L, Ramanoel S, Guyader N, Chauvin A and Peyrin C (2015) Spatial frequency processing in scene-selective cortical regions. NeuroImage.
  6. Ramanoel S (2015) Etude du traitement visuel rétinotopique des fréquences spatiales de scènes et plasticité cerebrale au cours du vieillissement normal et pathologique. Ph.D. Thesis, Université de Grenoble Alpes.
  7. Ramanoel S, Kauffmann L, Cousin E, Dojat M and Peyrin C (2015) Age-related differences in spatial frequency processing during scene categorization. In Organization of Human Brain Mapping, Hawaii, USA.
  8. Ramanoel S, Kauffmann L, Peyrin C and Dojat M (2015) Optimisation de la procédure de cartographie rétinotopique par IRMf pour une application clinique. In Société franc caise de résonance magnetique en biologie et medecine, Grenoble, France.
  9. Kauffmann L, Ramanoel S, Guyader N, Chauvin A and Peyrin C (2015) Spatial frequency processing within scene-selective cortical regions. In Organization of Human Brain Mapping, Hawaii, USA.
  10. Antonietti A, Casellato C, Garrido J, Luque N, Naveros F, Ros E, D Angelo E and Pedrocchi A (2015) Spiking Neural Network with Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms. IEEE transactions on bio-medical engineering.
  11. Naveros F, Luque NR, Garrido JA, Carrillo RR, Anguita M and Ros E (2015) A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study. Neural Networks and Learning Systems, IEEE Transactions on, 26(7):1567-1574.
  12. D’Angelo E, Mapelli L, Casellato C, Garrido JA, Luque N, Monaco J, Prestori F, Pedrocchi A and Ros E (2015) Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning. The Cerebellum:1-13.
  13. Logiaco L (2015) Temporal modulation of the dynamics of neuronal networks with cognitive function: experimental evidence and theoretical analysis. Ph.D. Thesis, University Pierre and Marie Curie, Sorbonne Universités, Paris.
  14. Grzeczkowski L, Tartaglia EM, W. MF and Herzog MH (2015) Linking perceptual learning with identical stimuli to imagery perceptual learning. Journal of Vision (in press).
  15. Logiaco L, Deger M, Schwalger T, Arleo A and Gerstner W (2015) A dynamic non-linear mean field method for networks of adapting neurons in the asynchronous state. In Beyond Mean Field Workshop, Gottingen, Germany.
  16. Allard R and Arleo A (2015) The temporal efficiency function of the energy-based and feature tracking motion systems. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  17. Logiaco L, Quilodran R, Procyk E and Arleo A (2015) Spatiotemporal spike coding of behavioral adaptation in the dorsal anterior cingulate cortex. PLoS Biology, 13(8):e1002222.
  18. Clarke AM, Friedrich J, Tartaglia EM, Marchesotti S, Senn W and Herzog MH (2015) Human and machine learning in non-markovian decision making. PLoS ONE, 10(4):e0123105.
  19. Tartaglia EM, Brunel N and Mongillo G (2015) Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli. PLoS Comput. Biol., 11(2):e1004059.
  20. Jehenne B, Raspopovic S, Capogrosso M, Arleo A and Micera S (2015) Recording properties of an electrode implanted in the peripheral nervous system: a human computational model. In IEEE EMBS Neural Engineering Conference (NER'15).

2014

  1. Allard R and Faubert J (2014) No dedicated color motion system. In Vision Sciences Society.
  2. Kauffmann L, Ramanoel S and Peyrin C (2014) The neural bases of spatial frequency processing during scene perception. Frontiers in Integrative Neurosciences.
  3. Musel B, Kauffmann L, Ramanoel S, Giavarini C, Guyader N, Chauvin A and Peyrin C (2014) Coarse-to-fine processing of visual scenes within scene-selective cortex. Journal of Cognitive Neuroscience.
  4. Ramanoel S, Kauffmann L, Cousin E, Dojat M and Peyrin C (2014) Age-related differences in spatial frequency processing during scene categorization. In GDR Vision, Lyon, France.
  5. Ramanoel S, Kauffmann L, Guyader N, Chauvin A, Pichat C, Dojat M and Peyrin C (2014) Effets de la normalisation de contraste RMS sur le traitement rétinotopique des fréquences spatiales dans la catégorisation de scenes. In 5eme Rencontres du Pôle Grenoble Cognition.
  6. Kauffmann L, Ramanoel S, Guyader N, Chauvin A and Peyrin C (2014) Quand un contrôle devient un biais : effet de l égalisation du contraste sur le traitement des fréquences spatiales. In 5eme Rencontres du Pôle Grenoble Cognition.
  7. Ramanoel S, Kauffmann L, Guyader N, Chauvin A, Pichat C, Dojat M and Peyrin C (2014) Effect of RMS contrast normalization on the retinotopic processing of spatial frequencies during scene categorization. In Vision Science Society, St Petersburg Beach, USA.
  8. Kauffmann L, Chauvin A, Guyader N, Ramanoel S and Peyrin C (2014) Does RMS contrast normalization impair coarse-to-fine processing of natural scenes?. In Vision Science Society, St Petersburg Beach, USA.
  9. Casellato C, Antonietti A, Garrido JA, Carrillo RR, Luque NR, Ros E, Pedrocchi A and D'Angelo E (2014) Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network. PLoS ONE, 9(11):e112265.
  10. Luque NR, Garrido JA, Carrillo RR, D'Angelo E and Ros E (2014) Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation. Frontiers in computational neuroscience, 8.
  11. Luque NR, Carrillo RR, Naveros F, Garrido JA and Sáez-Lara MJ (2014) Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process. Robotics and Autonomous Systems, 62(12):1702-1716.
  12. Logiaco L, Deger M, Schwalger T, Arleo A and Gerstner W (2014) Towards the control of bistable attractors by temporally modulated inputs. In Bernstein Conference, Gottingen, Germany.
  13. Tartaglia EM, Mongillo G and Brunel N (2014) On the relationship between persistent delay activity, repetition enhancement and priming. Front Psychol, 5.
  14. Maalej A, Tatur G, Lorenzini M-C, Dupeyron G, Dumas M and Marc I (2014) High dynamic range imaging system for the visually impaired. In ACVR2014: Second Workshop on Assistive Computer Vision and Robotics.
  15. Tatur G, Marc I, Dupeyron G and Dumas M (2014) Orientation and mobility with prosthetic vision - combination of luminosity and depth information for scene representation. In BIOSIGNALS, pages 122-126.
  16. Portelli G, Barrett J, Sernagor E, Masquelier T and Kornprobst P (2014) The wave of first spikes provides robust spatial cues for retinal information processing. Technical Report RR-8559, INRIA.
  17. Huth J (2014) Bootstrapping Information Criterion for Stochastic Models of Point Processes & The ni. Python Toolbox. Master's Thesis, University of Osnabrück.
  18. Allard R and Faubert J (2014) To characterize contrast detection, noise should be extended, not localized. Frontiers in Psychology, 5.
  19. Allard R and Faubert J (2014) Motion processing: The most sensitive detectors differ in temporally localized and extended noise. Frontiers in Psychology, 5.
  20. Allard R and Faubert J (2014) An expansive, cone-specific nonlinearity enabling the luminance motion system to process color-defined motion. Journal of Vision, 14(8).
  21. Bécu M, Beynel L, Chauvin A, Guyader N, Harquel S, Bougerol T and Marendaz C (2014) Characterizing rTMS-induced neuromodulation of the DFPLC in resistant bipolar patients using saccadic inhibition performance: a pilot study. In European Summer School on Eye Movement, Freiburg, Germany.
  22. Korotchenko S, Cingolani LA, Kuznetsova T, Bologna LL, Chiappalone M and Dityatev A (2014) Modulation of network activity and induction of homeostatic synaptic plasticity by enzymatic removal of heparan sulfates. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1654).
  23. Masquelier T, Portelli G and Kornprobst P (2014) Microsaccades enable efficient synchrony-based visual feature learning and detection. In 23th Computational Neuroscience Meeting.
  24. Portelli G, Barrett J, Sernagor E, Masquelier T and Kornprobst P (2014) Rapid neural coding in the mouse retina with the first wave of spikes. In 23th Computational Neuroscience Meeting.
  25. Masquelier T (2014) Oscillations can reconcile slowly changing stimuli with short neuronal integration and STDP timescales. Network: Computation in Neural Systems (special issue on Computations in oscillating neuronal networks), 25(1-2):85-96.
  26. Duvelle E (2014) Role of the hippocampus in goal representation. Ph.D. Thesis, University Pierre and Marie Curie Paris 6.
  27. Serrano-Gotarredona T, Masquelier T and Linares-Barranco B (2014) Spike-timing-dependent-plasticity with memristors. In Adamatzky, A. and Chua, L. O., editors, Memristor Networks, Springer-UK.

2013

  1. Renaud J, Allard R, Molinatti S and Faubert J (2013) External noise paradigms, contrast sensitivity and aging. In Vision Sciences Society.
  2. Faubert J and Allard R (2013) Stereoscopy benefits processing of dynamic visual scenes by disambiguating object occlusions. In Vision Sciences Society.
  3. Allard R and Faubert J (2013) No dedicated second-order motion system in the periphery. In Vision Sciences Society.
  4. Zanotti J-M and Lagrené K (2013) Inorganic electrolyte membrane for electrochemical devices, and electrochemical devices including same, US Patent App. 13/811,946. more.. 
  5. Tolu S, Vanegas M, Garrido JA, Luque NR and Ros E (2013) Adaptive and predictive control of a simulated robot arm. International journal of neural systems, 23(03):1350010.
  6. Passot J-B, Luque NR and Arleo A (2013) Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks. Frontiers in Computational Neuroscience, 7:95.
  7. Naveros F, Luque NR, Garrido JA, Carrillo RR and Ros E (2013) CPU-GPU hybrid platform for efficient spiking neural-network simulation. In BMC Neuroscience, vol. 14, pages P328.
  8. Luque NR, Garrido JA, Carrillo RR and Ros E (2013) Connection control implications in a distributed plasticity cerebellar model. In BMC Neuroscience, vol. 14, pages P329.
  9. Luque NR (2013) BIO-INSPIRED ROBOTIC CONTROL SCHEMES USING BIOLOGICALLY PLAUSIBLE NEURAL STRUCTURES. Ph.D. Thesis, University of Granada.
  10. Garrido JA, Luque NR, D'Angelo E and Ros E (2013) Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation. Frontiers in neural circuits, 7.
  11. Huth J (2013) Handbuch Kognitionswissenschaft. ISBN 3476023311, Metzler.
  12. Allard R and Faubert J (2013) No second-order motion system sensitive to high temporal frequencies. Journal of Vision, 13(5).
  13. Allard R, Renaud J, Molinatti S and Faubert J (2013) Contrast sensitivity, healthy aging and noise. Vision Research, 92(0):47-52.
  14. Legault I, Allard R and Faubert J (2013) Healthy older observers show equivalent perceptual-cognitive training benefits to young adults for multiple object tracking. Frontiers in Psychology, 4:323.
  15. Allard R and Faubert J (2013) Zero-dimensional noise is not suitable for characterizing processing properties of detection mechanisms. Journal of Vision, 13(10).
  16. Allard R and Faubert J (2013) No dedicated second-order motion system. Journal of Vision, 13(11).
  17. Allard R, Lagacé-Nadon S and Faubert J (2013) Feature tracking and aging. Frontiers in Psychology, 4.
  18. Hanssens J-M, Allard R, Giraudet G and Faubert J (2013) Visually induced postural reactivity is velocity-dependent at low temporal frequencies and frequency-dependent at high temporal frequencies. Experimental brain research, 229(1):75-84.
  19. Allard R (2013) Adding external noise can trigger a change in processing strategy. In Perception, vol. 42 ECVP Abstract Supplement, pages 157.
  20. Allard R and Jocelyn F (2013) Second-order motion processed by the first-order motion system at high carrier contrasts. In Perception, vol. 42 ECVP Abstract Supplement, pages 208.
  21. Bécu M, Beynel L, Chauvin A, Guyader N, Harquel S and Marendaz C (2013) Aging and cortical excitability. In French Society for Neuroscience Meeting, Lyon, France.
  22. Beynel L, Bécu M, Chauvin A, Guyader N, Harquel S and Marendaz C (2013) State dependency and cortical excitability. In French Society for Neuroscience Meeting, Lyon, France.
  23. Harquel S, Bécu M, Beynel L, Chauvin A, Guyader N and Marendaz C (2013) CortExTool: a signal processing toolbox for cortical excitability by TMS. In French Society for Neuroscience Meeting, Lyon, France.
  24. Bécu LBM, Chauvin A, Guyader N, Harquel S and Marendaz C (2013) Aging and Mental-Cognitive State modulate Cortical Excitability (TMS). In Journée de la Recherche Médicale, Grenoble, France.
  25. Pinoteau J (2013) Processing of fine touch information in a closed loop neural architecture. Ph.D. Thesis, University Pierre and Marie Curie Paris 6.
  26. Arleo A, Déjean C, Allegraud P, Khamassi M, Zugaro MB and Wiener SI (2013) Optic flow stimuli update anterodorsal thalamus head direction neuronal activity in rats. Journal of Neuroscience, 33(42):16790-5.
  27. Masquelier T and Deco G (2013) Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. PLoS ONE, 8(10).
  28. Sheynikhovich D, Otani S and Arleo A (2013) Dopaminergic control of LTD/LTP threshold in prefrontal cortex. Journal of Neuroscience, 33(34):13914-26.
  29. Bologna LL*, Pinoteau J*, Passot J-B, Garrido JA, Vogel J, Ros Vidal E and Arleo A (2013) A closed-loop neurobotic system for fine touch sensing. Journal of Neural Engineering, 10(4):046019.
  30. Duvelle E, Hok V, Poucet B, Arleo A and Save E (2013) Goal-related firing and the representation of goal value in hippocampal place cells. In French Society for Neuroscience Meeting, Lyon, France.
  31. Logiaco L, Quilodran R, Gerstner W, Procyk E and Arleo A (2013) Modulation of a decision-making process by spatiotemporal spike patterns decoding. In 22th Computational Neuroscience Meeting, Paris, France.
  32. Masquelier T and Gilson M (2013) Optimal spike pattern v.s. noise separation by neurons equipped with STDP. In 22th Computational Neuroscience Meeting, Paris, France.
  33. Jarlier F, Arleo A, Petit GH, Lefort JM, Fouquet C, Burguière E and Rondi-Reig L (2013) A Navigation Analysis Tool (NAT) to assess spatial behavior in open-field and structured mazes. Journal of Neuroscience Methods, 215(2):196-209.
  34. Masquelier T (2013) Neural variability, or lack thereof. Front. Comput. Neurosc., 7(7).
  35. Bengtsson F, Brasselet R, Johansson RS, Arleo A and Jorntell H (2013) Integration of sensory quanta in cuneate nucleus neurons in vivo. PLoS ONE, 8(2):e56630.
  36. Masquelier T and Deco G (2013) Learning and coding in neural networks. In Quian Quiroga, R. and Panzeri, S., editors, Principles of neural coding, CRC Press.
  37. Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G and Linares-Barranco B (2013) STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems. Front. Neurosc., 7(2).

2012

  1. S. Tolu MVRARCAC (2012) Dynamics Model Abstraction Scheme Using Radial Basis Functions. Journal of Control Science and Engineering, 2012(ID 761019).
  2. Wardak C, Ramanoel S, Guipponi O, Boulinguez P, Hamed B and . (2012) Proactive inhibitory control varies with task context. European Journal of Neuroscience.
  3. Peyrin C, Musel B, Kauffmann L, Guyader N, Pichat C, Ramanoel S and Chauvin A (2012) Coarse-to-Fine categorization of scenes within the parahippocampal place area. In Cognitive Neuroscience Society, San Fransisco, USA.
  4. Kauffmann L, Musel B, Chauvin A, Guyader N, Pichat C, Ramanoel S, Bas Le, F. J and Peyrin C (2012) Dynamic scenes as an experimental tool to investigate the neural substrates of coarse-to-fine processing in scene perception. In Cognitive Neuroscience Society, San Fransisco, USA.
  5. Zanotti J-M, Lagrené K, Malikova N, Judeinstein P, Panesar K, Ollivier J, Rols S, Mayne-L’Hermite M, Pinault M and Boulanger P (2012) Nanometric confinement: Toward new physical properties and technological developments. The European Physical Journal Special Topics, 213(1):129-148.
  6. Casellato C, Pedrocchi A, Garrido JA, Luque NR, Ferrigno G, Angelo ED and Ros E (2012) An integrated motor control loop of a human-like robotic arm: feedforward, feedback and cerebellum-based learning. In Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on, pages 562-567.
  7. Tolu S, Vanegas M, Luque NR, Garrido JA and Ros E (2012) Bio-inspired adaptive feedback error learning architecture for motor control. Biological cybernetics, 106(8-9):507-522.
  8. Luque NR, Garrido JA, Ralli J, Laredo JJ and Ros E (2012) From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. International Journal of Neural Systems, 22(04).
  9. Mast FW, Tartaglia EM and Herzog MH (2012) New Percepts via Mental Imagery?. Front Psychol, 3.
  10. Tartaglia EM, Bamert L, Herzog MH and Mast FW (2012) Perceptual learning of motion discrimination by mental imagery. J Vis, 12(6).
  11. Allard R and Cavanagh P (2012) Different processing strategies underlie voluntary averaging in low and high noise. Journal of Vision, 12(11).
  12. Allard R and Faubert J (2012) No second-order motion system sensitive to high temporal frequencies. In Journal of Vision, vol. 12, pages 773.
  13. Hanssens JM, Giraudet G, Allard R and Faubert J (2012) Visually Induced Motion Sickness Depends on Velocity, Not Temporal Frequency. In Optometry and Vision Science, vol. 89.
  14. Deneux T, Sanz-Leon P, Masquelier T, Masson G, Deco G and Vanzetta I (2012) The spatiotemporal structure of ongoing and evoked activity investigated using optical imaging of voltage sensitive dyes in awake monkey V4. In 8th FENS Forum of Neuroscience, Santorini, Greece.
  15. Masquelier T, Haroush N, Marom S and Deco G (2012) Recurrent excitation, Short-Term Depression, and adaptation account for in vitro network spikes. In 8th FENS Forum of Neuroscience, Barcelona, Spain.
  16. Masquelier T (2012) Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. J Comput Neurosci, 32(3):425-441.
  17. Sheynikhovich D, Grèzes F, King J-R and Arleo A (2012) Exploratory behaviour depends on multisensory integration during spatial learning. In LNCS - Artificial Neural Networks and Machine Learning, vol. 7552, pages 296-303, Springer.
  18. Sheynikhovich D, Otani S and Arleo A (2012) The role of dopamine in LTP/LTD threshold modulation in the prefrontal cortex. In 8th FENS Forum of Neuroscience, Barcelona,Spain.
  19. Logiaco L, Quilodran R, Rothé M, Procyk E and Arleo A (2012) The spatiotemporal structure of anterior cingulate cortex activity contributes to behavioural adaptation coding. In 8th FENS Forum of Neuroscience, Barcelona,Spain.
  20. Pinoteau J*, Bologna LL*, Garrido J and Arleo A (2012) A Closed-loop neurorobotic system for investigating Braille-reading finger kinematics. In Isokoski, P. and Springare, J., editors, LNCS - Haptics: Perception, Devices, Mobility, and Communication, vol. 7282, pages 407-418, Springer.
  21. Bologna LL*, Pinoteau J*, Garrido J and Arleo A (2012) Active tactile sensing in a neurorobotic Braille-reading system. In Proceedings of the 4th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012), pages 1925-1930, Rome, Italy.
  22. Passot J-B, Sheynikhovich D, Duvelle E and Arleo A (2012) Contribution of cerebellar sensorimotor adaptation to hippocampal spatial memory. PLoS ONE, 7(4):e32560.

2011

  1. Woods VM, Triantis IF, Agathos C and Toumazou C (2011) "Capacitive" Pulse Shapes for Platinum Cuff Electrodes. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS:5408-5411.
  2. Luque NR, Garrido JA, Carrillo RR, Tolu S and Ros E (2011) Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise. International Journal of Neural Systems, 21(05):385-401.
  3. Luque NR, Garrido J, Carrillo RR, Coenen OJ, Ros E and thers (2011) Cerebellar input configuration toward object model abstraction in manipulation tasks. Neural Networks, IEEE Transactions on, 22(8):1321-1328.
  4. Luque NR, Garrido JA, Carrillo RR, Coenen OJ and Ros E (2011) Cerebellarlike corrective model inference engine for manipulation tasks. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 41(5):1299-1312.
  5. Garrido JA, Carrillo RR, Luque NR and Ros E (2011) Event and time driven hybrid simulation of spiking neural networks. In Advances in Computational Intelligence, pages 554-561, Springer Berlin Heidelberg.
  6. Luque NR, Garrido JA, Carrillo RR and Ros E (2011) Context separability mediated by the granular layer in a spiking cerebellum model for robot control. In Advances in Computational Intelligence, pages 537-546, Springer Berlin Heidelberg.
  7. Tatur G, Marc I, Lafon-Pham D, Dupeyron G and Dumas M (2011) Integration of an eye tracking system in prosthetic vision simulator: Study of mobility tasks performances. In Proceedings of the 16th European Conference on Eye Movements (ECEM).
  8. Tatur G, Marc I, Lafon D, Dupeyron G, Bardin F and Dumas M (2011) Une approche fonctionnelle en vision prosthétique : étude préliminaire dans le contexte de la mobilité. In ASSISTH 2011 : 2ème conférence internationale sur l'accessibilité et les systèmes de suppléance aux personnes en situation de handicap.
  9. Tatur G (2011) Conception dun système de vision par phosphènes. Ph.D. Thesis, Université de Montpellier 2.
  10. Huth J (2011) Synchrony Binding in Noise Excitable Coherence Resonance Networks. Master's Thesis, University of Osnabrück.
  11. Allard R and Cavanagh P (2011) Crowding in a detection task: external noise triggers change in processing strategy. Vision Research, 51(4):408-416.
  12. Hanssens J-M, Giraudet G, Allard R and Faubert J (2011) Modulating Somatosensory Input Makes People More Visually Dependant For Postural Control. In ARVO Meeting Abstracts, vol. 52, pages 3014.
  13. Allard R and Faubert J (2011) Color contribution to motion due to early expansive nonlinearities within the luminance pathway. In Journal of Vision, vol. 11, pages 745.
  14. Legault I, Allard R and Faubert J (2011) Trained Older Observers Are Equivalent to Untrained Young Adults for 3D Multiple-Object-Tracking Speed Thresholds. In Journal of Vision, vol. 11, pages 288.
  15. Deco G, Buehlmann A, Masquelier T and Hugues E (2011) The role of rhythmic neural synchronization in rest and task conditions. Front Hum Neurosci, 5:4.
  16. Zamarreño-Ramos C, Camuñas-Mesa LA, Perez-Carrasco JA, Masquelier T, Serrano-Gotarredona T and Linares-Barranco B (2011) On Spike-Timing-Dependent-Plasticity, Memristive Devices, and building a Self-Learning Visual Cortex. Front. Neurosc. - Neuromorph. Eng., 5(26).
  17. Gilson M, Masquelier T and Hugues E (2011) STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS Comput Biol, 7(10):e1002231.
  18. Masquelier T, Albantakis L and Deco G (2011) The timing of vision - how neural processing links to different temporal dynamics. Front Psychol - Perception Sc, 2:151.
  19. Passot J-B (2011) Role of the cerebellum in adaptive voluntary movements and spatial cognition: a neurocomputational study. Ph.D. Thesis, University Pierre and Marie Curie Paris 6.
  20. Sheynikhovich D, Otani S and Arleo A (2011) The role of tonic and phasic dopamine for long-term synaptic plasticity in the prefrontal cortex: a computational model. Journal of Physiology P, 105 (1-3):45-52.
  21. Bologna LL, Pinoteau J, Brasselet R, Maggiali M and Arleo A (2011) Encoding/decoding of first and second order tactile afferents in a neurorobotic application. Journal of Physiology P, 105 (1-3):25-35.
  22. Martinet LE, Sheynikhovich D, Benchenane K and Arleo A (2011) Spatial learning and action planning in a prefrontal cortical network model. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  23. Passot JB, Sheynikhovich D, Rondi-Reig L and Arleo A (2011) A neurocomputational study of the role of the cerebellum in spatial cognition. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  24. Sheynikhovich D, Otani S and Arleo A (2011) The role of phasic and tonic dopamine for long-term plasticity in the rat prefrontal cortex: a computational model. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  25. Arleo A, Brasselet R, Bologna LL, Pinoteau J, Jörntell H and Johansson RS (2011) Neural coding in the early stages of the somatosensory pathway: a metrical information theory analysis of human microneurography data. In Proceedings of the 10th French Society for Neuroscience Meeting, Marseille, France.
  26. Brasselet R, Johansson RS and Arleo A (2011) Quantifying neurotransmission reliability through metrics based information analysis. Neural Computation, 23(4):852-881.
  27. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2011) Spatial Learning and Action Planning in a Prefrontal Cortical Network Model. PLoS Comput Biol, 7(5):e1002045.
  28. Brasselet R, Johansson RS and Arleo A (2011) Isometric coding of spiking haptic signals by peripheral somatosensory neurons. In Cabestany, J. et al., editors, LNCS - Advances on Computational Intelligence, vol. 6691, pages 528-536, Springer.
  29. Logiaco L (2011) Spike train metrics analysis of anterior cingulate cortex activity in an exploration-exploitation task. Master's Thesis, Ecole Normale Supérieure Paris, Univ Paris V, EHESS, Paris, France.
  30. Grèzes F (2011) Exploration strategies in unknown environments, learning cognitive maps for spatial navigation. Master's Thesis, University Pierre and Marie Curie Paris VI, Paris, France.
  31. Nieus T, Bologna LL and Martinoia S (2011) Complex dynamics in neural growth. In Computational and Systems Neuroscience Meeting, (Cosyne), 24th - 28th, February 2011, Salt Lake City, (Utah, Usa).

2010

  1. Hoye V, A. R, S. H, -P. J and Sarrazin P (2010) French validation of the behavioral regulation in sport questionnaire, BRSQ, by adolescents. In Proceedings of the Fourth International Conference on Self-Determination Theory.
  2. Lagrené K, Zanotti J-M, Daoud M, Farago B and Judeinstein P (2010) Large-scale dynamics of a single polymer chain under severe confinement. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 81(6):3-6.
  3. Lagrené K, Zanotti J-M, Daoud M, Farago B and Judeinstein P (2010) Dynamical behavior of a single polymer chain under nanometric confinement. The European Physical Journal Special Topics, 189(1):231-237.
  4. Passot J-B, Luque N and Arleo A (2010) Internal models in the cerebellum: a coupling scheme for online and offline learning in procedural tasks. In From Animals to Animats 11, pages 435-446, Springer Berlin Heidelberg.
  5. Luque NR, Garrido JA, Carrillo RR and Ros E (2010) Cerebellar spiking engine: Towards objet model abstraction in manipulation. In Neural Networks (IJCNN), The 2010 International Joint Conference on, pages 1-8.
  6. Tatur G, Marc I, Dumas M and Dupeyron G (2010) Conception of a phosphene based visual system - a functionnal approach. In BIOSIGNALS, pages 339-344.
  7. Allard R and Cavanagh P (2010) Orientation uncertainty reveals different detection strategies in noise. In Journal of Vision, vol. 10, pages 1371.
  8. Nguyen-Tri D, Allard R and Faubert J (2010) No impact of luminance noise on chromatic motion perception. In Journal of Vision, vol. 10, pages 820.
  9. Allard R, Renaud J and Faubert J (2010) No cross-frequency facilitation for older adult observers. In Optometry and Vision Science, vol. 87.
  10. Allard R and Patrick C (2010) Different processing strategies underlie mean orientation discrimination in low and high orientation variance. In Perception, vol. 39 ECVP Abstract Supplement, pages 186.
  11. Masquelier T and Thorpe SJ (2010) Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. In Proc. IEEE International Joint Conference on Neural Networks (IJCNN).
  12. Controzzi M, Cipriani C, Jehenne B, Donati M and Carrozza MC (2010) Bio-inspired mechanical design of a tendon-driven dexterous prosthetic hand. In Proceedings of Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, Buenos Aires, Argentina.
  13. Brasselet R (2010) Neural coding in the ascending somatosensory pathway: a metrical information theory pproach. Ph.D. Thesis, University Pierre and Marie Curie Paris 6.
  14. Sheynikhovich D and Arleo A (2010) A reinforcement learning approach to model interactions between landmarks and geometric cues during spatial learning. Brain Research, 1365:35-47.
  15. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Shapes of Brain Dynamics, Paris, France.
  16. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Dendrites, Neurones and Networks, Warwick, UK.
  17. Brasselet R and Arleo A (2010) Local metrical information: application to the perceptual magnet effect. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 132-136.
  18. Sheynikhovich D, Otani S and Arleo A (2010) A modeling study of the role of tonic vs. phasic dopamine input to the prefrontal cortex. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 77-81.
  19. Bologna LL, Brasselet R, Maggiali M and Arleo A (2010) Effective encoding/decoding of spiking signals from an artificial touch sensor. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 120-125.
  20. Martinet L-E and Arleo A (2010) A model of prefrontal columnar organisation for multiscale spatial planning. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 167-172.
  21. Passot J-B and Arleo A (2010) A new coupling scheme of cerebellar internal models: online and offline adaptation in procedural tasks. In Gervais, R. et al., editors, Proceedings of the Fifth french conference on computational neuroscience (Neurocomp), pages 95-99.
  22. Arleo A, Nieus T, Bezzi M, D'Errico A, D'Angelo E and Coenen OJM (2010) How synaptic release probability shapes neuronal transmission: Information theoretic analysis in a cerebellar granule cell. Neural Computation, 22(8):2031-2058.
  23. Arleo A and Rondi-Reig L (2010) Multimodal sensory integration and concurrent navigation strategies for spatial cognition in real and artificial organisms. In Dolins, F. and Mitchell, R., editors, Spatial Perception, Spatial Cognition, chpt. 11, pages 281-320, Cambridge University Press.
  24. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2010) Integrating a hippocampal and a cortical model for spatial navigation planning. In 14th International Conference on Cognitive and Neural Systems (ICCNS'10), Boston, USA.
  25. Martinet L-E and Arleo A (2010) A cortical column model for multiscale spatial planning. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 347-358, Springer-Verlag.
  26. Passot J-B, Luque N and Arleo A (2010) Internal models in the cerebellum: a coupling scheme for online and offline learning in procedural tasks. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 435-446, Springer-Verlag.
  27. Sheynikhovich D, Dolle L, Chavarriga R and Arleo A (2010) Minimal model of strategy switching in the plus-maze navigation task. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 390-401, Springer-Verlag.
  28. Sheynikhovich D, Otani S and Arleo A (2010) The role of dopamine in long-term plasticity in the rat prefrontal cortex: a computational model. In Frontiers in Systems Neuroscience, Conference Abstract: Computational and Systems Neuroscience (Cosyne).
  29. Sheynikhovich D, Otani S and Arleo A (2010) The role of dopamine in long-term plasticity in the rat prefrontal cortex: a computational model. In FENS Abstracts, vol. 5.
  30. Bologna LL, Brasselet R, Maggiali M and Arleo A (2010) Neuromimetic encoding/decoding of spatiotemporal spiking from an artificial touch sensor. In Proceedings of the International Joint Conference on Neural Networks (IJCNN) (in press).
  31. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission by taking into account the metrical properties of spike trains. In SIMAI - Symposium on new trends in scientific computing: computational Biology, Abs. N. 628, Cagliari, Italy.
  32. Brasselet R, Johansson RS and Arleo A (2010) Quantifying neurotransmission through an entropy measure embedding spike train metrics. In Workshop on Spike Train Measures and Their Applications to Neural Coding, Plymouth, UK.
  33. Dollé L, Sheynikhovich D, Girard B, Chavarriaga R and Guillot A (2010) Path planning versus cue responding: a bioinspired model of switching between navigation strategies. Biological Cybernetics, 103(4):299-317.
  34. Martinet L-E (2010) Spatial learning and action planning in a prefrontal cortical network model. Ph.D. Thesis, University Pierre and Marie Curie Paris 6.
  35. Bologna LL, Pasquale V, Garofalo M, Gandolfo M, Baljon PL, Maccione A, Martinoia S and Chiappalone M (2010) Investigating neuronal activity by SPYCODE multichannel data analyzer. Neural Networks, 23(6):685-697.
  36. Bologna LL, Nieus T, Tedesco M, Chiappalone M, Benfenati F and Martinoia S (2010) Low-frequency stimulation enhances burst activity in cortical cultures during development. Neuroscience, 165(3):692-704.
  37. Bologna LL, Pasquale V, Garofalo M, Gandolfo M, Baljon PL, Maccione A, Martinoia S and Chiappalone M (2010) Investigating neuronal activity by SPYCODE data analyzer. In Proceedings of Mea-Meeting, 7th International Meeting on Substrate Integrated Micro-Electrode Arrays, 29 June - 2 July 2010, Reutlingen (Germany) (in press).
  38. Dollé L, Sheynikhovich D, Girard B, Ujfalussy B, Chavarriaga R and Guillot A (2010) Analyzing interactions between cue-guided and place-based navigation with a computational model of action selection: Influence of sensory cues and training. In Doncieux, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 6226, pages 335-346, Springer-Verlag.

2009

  1. Tartaglia EM, Bamert L, Mast FW and Herzog MH (2009) Human perceptual learning by mental imagery. Curr. Biol., 19(24):2081-2085.
  2. Aberg KC, Albrecht E, Tartaglia EM, Farron A, Soom P and Herzog MH (2009) Anesthesia prevents auditory perceptual learning. Anesthesiology, 111(5):1010-1015.
  3. Aberg KC, Tartaglia EM and Herzog MH (2009) Perceptual learning with Chevrons requires a minimal number of trials, transfers to untrained directions, but does not require sleep. Vision Res., 49(16):2087-2094.
  4. Tartaglia EM, Aberg KC and Herzog MH (2009) Perceptual learning and roving: Stimulus types and overlapping neural populations. Vision Res., 49(11):1420-1427.
  5. Tartaglia EM, Aberg KC and Herzog MH (2009) Modeling perceptual learning: Why mice do not play backgammon. Learn Percept, 1(1):155-163.
  6. Lagacé-Nadon S, Allard R and Faubert J (2009) Exploring the spatiotemporal properties of fractal rotation perception. Journal of vision, 9:3.
  7. Hanssens J-M, Moulin M, Allard R and Faubert J (2009) Does Simulated Dynamic Visual Distortions From Positive and Negative Ophthalmic Lenses Generate Postural Reactivity?. In ARVO Meeting Abstracts, vol. 50, pages 3983.
  8. Allard R and Cavanagh P (2009) Detection mechanisms selective to combinations of luminance- and contrast-modulations. In Journal of Vision, vol. 9, pages 973.
  9. Hanssens J-M, Moulin M, Allard R and Faubet J (2009) The impact of aging on postural reactivity generated by simulated ophthalmic lenses distortions. In Journal of Vision, vol. 9, pages 1130.
  10. Faubert J, Giroud M, Tinjust D and Allard R (2009) Elders can be trained to process fast moving objects in complex 3D scenes as well as untrained young adults. In 19th IAGG World Congress of Gerontology and Geriatrics, Paris, France.
  11. Allard R and Patrick C (2009) External noise reveals crowding in detection. In Perception, vol. 38 ECVP Abstract Supplement, pages 93.
  12. Gilson M, Masquelier T, Hugues E and Burkitt A (2009) Pattern learning using spike-timing-dependent plasticity: a theoretical approach. In CNS, Berlin, Germany.
  13. Masquelier T, Guyonneau R and Thorpe SJ (2009) Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5):1259-1276.
  14. Masquelier T, Hugues E, Deco G and Thorpe SJ (2009) Low frequency oscillations facilitate STDP-based pattern learning and decoding. In Frontiers in Computational Neuroscience, vol. Conference Abstract: Computational and systems neuroscience.
  15. Masquelier T, Hugues E, Deco G and Thorpe SJ (2009) Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. J Neurosci, 29(43):13484-13493.
  16. Martinet L-E, Sheynikhovich D, Benchenane K and Arleo A (2009) Integrating a hippocampal and a cortical model for spatial navigation planning. In Fourth Computational Cognitive Neuroscience Conference (CCNC'09), Boston, USA.
  17. Martinet L-E, Sheynikhovich D and Arleo A (2009) A cortical column model for studying spatial navigation planning. In Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 24, Bordeaux, France.
  18. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) Multimodal encoding in a cortical model for spatial navigation planning. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 338, Berlin, Germany.
  19. Passot J-B, Rondi-Reig L and Arleo A (2009) Cerebellum and spatial cognition: a connectionist approach. In Verleysen, M., editors, Proceedings of the European Symposium on Artificial Neural Network: Advances in Computational Intelligence and Learning, vol. 17, pages 287-292.
  20. Passot J-B, Arabo A, Sheynikhovich D, Rondi-Reig L and Arleo A (2009) Studying the role of the cerebellum in spatial cognition through a neurocomputational approach. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 26.
  21. Passot J-B, Rondi-Reig L and Arleo A (2009) Modeling cerebellar learning for spatial cognition. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 141.
  22. Sheynikhovich D, Chavarriaga R, Strösslin T, Arleo A and Gerstner W (2009) Is there a geometric module for spatial orientation? Insights from a rodent navigation model. Psychological Review, 116(3):540-566.
  23. Sheynikhovich D, Otani S and Arleo A (2009) Role of dopamine for long-term plasticity in the rat prefrontal cortex: a computational model. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 30.
  24. Sheynikhovich D, Chavarriaga R, Strösslin T, Arleo A and Gerstner W (2009) Is There a Geometric Module for Spatial Orientation?: Insights From a Rodent Navigation Model. In Proceedings of the 4th Computational Cognitive Neuroscience Conf, Boston, USA.
  25. Bologna LL, Maggiali M, Sandini G and Arleo A (2009) Encoding/Decoding of spatiotemporal signals from an artificial touch sensor. In Proceedings of the Humanoids Conference, Paris, France.
  26. Brasselet R, Johansson RS and Arleo A (2009) Optimal context separation of spiking haptic signals by second-order somatosensory neurons. In Bengio, Y. et al., editors, Advances in Neural Information Processing Systems 22, vol. 22, pages 180-188.
  27. Brasselet R, Johansson RS and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first spike latencies. In Renaud, S. and Saighi, S., editors, Proceedings of the Fourth french conference on computational neuroscience (Neurocomp), vol. 4, pages 5.
  28. Brasselet B, Johansson RS, Coenen OJ-MD and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first spike latencies. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 349.
  29. Brasselet R, Johansson RS and Arleo A (2009) Fast encoding/decoding of haptic microneurography data based on first-spike latency. In Proceedings of the Humanoids Conference, Paris, France.
  30. Bologna LL, Nieus T and Martinoia S (2009) A mixed excitatory/inhibitory model of neural growth reproduces cortical cultures' activity during development. In Renaud, S. and Saighi, S., editors, Proceedings of the Conference NeuroComp, vol. 4, pages 4.
  31. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) A cortical model for spatial navigation planning. In Journées Francophones Planification Décision Apprentissage (JFPDA 2009), Paris, France.
  32. Martinet L-E, Sheynikhovich D, Meyer J-A and Arleo A (2009) Multimodal encoding in a cortical model for spatial navigation planning. In Colloque des Jeunes Chercheurs en Sciences Cognitives (CJCSC'09), Toulouse, France.

2008

  1. Carrillo RR, Ros E, Tolu S, Nieus T and D'Angelo E (2008) Event-driven simulation of cerebellar granule cells. Biosystems, 94(1-2):10-17.
  2. Carrillo RR, Ros E, Boucheny C and Coenen OJ-MD (2008) A real-time spiking cerebellum model for learning robot control. Biosystems, 94(1-2):18-27.
  3. Díaz D, Ros E, Mota S and Carrillo RR (2008) Local image phase, energy and orientation extraction using FPGAs. International Journal of Electronics, 95(7):743-760.
  4. Lagrené K and Zanotti J-M (2008) Evidence of bayerite clusters within the AAO amorphous bulk alumina. Consequence for AAO SANS matching properties. In Cracium, V. and Kumar, D. and Pennycook, S.J. and Singh K.K, editors, MRS Proceedings, pages 1074-I13-02.
  5. Lagrené K (2008) ÉTUDE DYNAMIQUE DE POLYMÈRES SOUS CONFINEMENT QUASI-UNIAXIAL. Ph.D. Thesis, Université Paris Sud - Paris XI.
  6. Tatur G, Marc I, Lafon-Pham D and Dumas M (2008) Optimization of contrast detection by a digital camera for efficient textured colour landmark recognition. In Workshop on Matériaux et sensation 2008.
  7. Dupeyron G, Dumas M, Hamel C, Marc I, Borie JC, Bardin F, Lafon D, Tatur G, Bec JM, Vicet A, Rouillard Y, Chabbert C, Tannous RB, Leaners G, Muller A and Payet O (2008) Laser driven optical prosthesis (LASDOP) - pluridisciplinary project for the development of a retina stimulation. In Vision 2008: the 9th International Conference on Low Vision.
  8. Allard R and Faubert J (2008) The noisy-bit method for digital displays: Converting a 256 luminance resolution into a continuous resolution. Behavior Research Methods, 40(3):735-743.
  9. Allard R and Faubert J (2008) First- and second-order motion mechanisms are distinct at low but common at high temporal frequencies. Journal of Vision, 8(2):1-17.
  10. Lagacé-Nadon S, Allard R and Faubert J (2008) Exploring the spatiotemporal properties of fractal rotation. In Journal of Vision, vol. 8, pages 596.
  11. Tinjust D, Allard R and Faubert J (2008) Impact of stereoscopic vision and 3D representation of visual space on multiple object tracking performance. In Journal of Vision, vol. 8, pages 509.
  12. Allard R and Faubert J (2008) Common first- and second-order motion processing at high temporal frequencies. In Journal of Vision, vol. 8, pages 18.
  13. Hanssens JM, Giraudet G, Allard R and Faubert J (2008) Do central and peripheral visual fields play a role in postural control?. In Optometry and Vision Science, vol. 85.
  14. Masquelier T (2008) Learning mechanisms to account for the speed, selectivity and invariance of responses in the visual cortex. Ph.D. Thesis, Université Paul Sabatier Toulouse 3.
  15. Masquelier T, Guyonneau R and Thorpe SJ (2008) Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PLoS ONE, 3(1):e1377.
  16. Martinet L-E, Fouque B, Passot J-B, Meyer JA and Arleo A (2008) Modelling the cortical columnar organisation for topological state-space representation, and action planning. In Asada, M. et al., editors, LNAI – Simulation of Adaptive Behavior, vol. 5040, pages 137-147, Springer-Verlag.
  17. Martinet L-E, Passot J-B, Fouque B, Meyer JA and Arleo A (2008) Map-Based Spatial Navigation: A Cortical Column Model for Action Planning. In Freksa, C. et al., editors, LNAI - Spatial Cognition, vol. 5248, pages 39-55, Springer-Verlag.
  18. David FO, Arleo A, Leresche N and Lambert RC (2008) Dynamical effects of the T-current potentiation upon the oscillatory activity of thalamocortical neurons associated to sleep: a predictive model. In Proceedings of the Workshop on Mathematical Neuroscience, Edinburgh, UK.
  19. David FO, Arleo A, Leresche N and Lambert RC (2008) Dynamical effects of the T-current potentiation upon the oscillatory activity of thalamocortical neurons associated to sleep: a predictive model. In FENS Abstracts, vol. 4: 047.8.
  20. Bologna LL, Chiappalone M, Tedesco M, Nieus T and Martinoia S (2008) Constant low frequency stimulation shows long-term response changes in in-vitro cortical cultures during development. In Proceedings of Mea-Meeting, 6th International Meeting on Substrate Integrated Micro-Electrode Arrays, 8-11 July 2008, Reutlingen (Germany), pag. 43.
  21. Bologna LL, ., Chiappalone N, Nieus T and Martinoia S (2008) Constant low frequency stimulation shows changes in response of in-vitro cortical cultures during development. In Molecular Mechanisms in Neuroscience, 19-20 June 2008, Milan (Italy).
  22. Massobrio P, Pasquale V, Chiappalone M, Bologna LL and Martinoia S (2008) Self-organization in network of dissociated cortical neurons: an experimental and modeling approach. In 5th Computational and Systems Neuroscience Meeting, (Cosyne), 28th, February - 2nd March, 2008, Salt Lake City, (Utah, Usa).
  23. Pasquale V, Massobrio P, Bologna LL, Chiappalone M, Maccione M, Berdondini L and Martinoia S (2008) Scale-free dynamics and neuronal avalanches in networks of neurons cultured onto micro-electrode arrays. In Society For Neuroscience, (Sfn 2008) -15-19 November 2008, Washington dc (Usa).
  24. Pasquale V, Massobrio P, Bologna LL, Chiappalone M and Martinoia S (2008) Neuronal Avalanches In Networks Of Neurons Developing In Vitro. In Molecular Mechanisms in Neuroscience, 19-20 June 2008, Milan (Italy).
  25. Pasquale V, Massobrio P, Bologna LL, Chiappalone M and Martinoia S (2008) Neuronal avalanches in networks of neurons cultured in-vitro. In Proceedings of Mea-Meeting, 6th International Meeting on Substrate Integrated Micro-Electrode Arrays, 8-11 July 2008, Reutlingen (Germany), pag. 76.
  26. Pasquale V, Massobrio P, Bologna LL, Chiappalone M and Martinoia S (2008) Self-organization and neuronal avalanches in networks of dissociated cortical neurons. Neuroscience, 153(4):1354-1369.

2007

  1. Mota S, Ros E, Díaz J, Rodríguez R and Carrillo RR (2007) A Space Variant Mapping Architecture for Reliable Car Segmentation. In International Workshop on Applied Reconfigurable Computing (ARC'07), Rio de Janeiro, Brasil.
  2. Díaz J, Ros E, Mota S and Carrillo RR (2007) Image Processing Architecture for Local Features Computation. In International Workshop on Applied Reconfigurable Computing (ARC'07), Rio de Janeiro, Brasil.
  3. Mota S, Ros E, Díaz J, Agís R, Rodríguez-Gómez R and Carrillo RR (2007) Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance, Pattern Recognition and Image Analysis. In Third Iberian Conference (IbPRIA'07), Girona, Spain.
  4. Carrillo RR, Ros E, Barbour B, Boucheny C and Coenen O (2007) Event-driven simulation of neural population synchronization facilitated by electrical coupling. Biosystems, 87(2-3):275-280.
  5. Agís R, Ros E, Díaz J, Carrillo RR and Ortigosa EM (2007) Hardware Event-driven Simulation Engine for Spiking Neural Networks. International Journal of Electronics, 94(5):469-480.
  6. Díaz J, Ros E, Carrillo RR, and Prieto A (2007) Real-Time System for High-Image Resolution Disparity Estimation. IEEE Transactions on Image Processing, 16(1):280-285.
  7. Lagrené K and Zanotti JM (2007) PEO melt dynamics in bulk and confined in nanometric cylindrical channels. In Sokol, P E, editors, Quasi-Elastic Neutron Scattering Conference 2006 (QENS 2006), vol. 49, pages 149-160.
  8. Lagrené K and Zanotti JM (2007) PEO melt dynamics in bulk and confined in nanometric cylindrical channels. In Sokol, P E, editors, Quasi-Elastic Neutron Scattering Conference 2006 (QENS 2006), vol. 49, pages 159, Materials Research Society.
  9. Lagrené K and Zanotti JM (2007) Anodic aluminium oxide: Concurrent SEM and SANS characterisation. Influence of AAO confinement on PEO mean-square displacement. European Physical Journal: Special Topics, 141:261-265.
  10. Fontaine E, Tatur G and Pissaloux E (2007) Experiments of virtual navigation as a step in the development of a navigation tool for blind people. In Proceedings of the Conference and Workshop on Assistive Technologies for People with Vision and Hearing Impairments: Assistive Technology for All Ages (CVHI-2007).
  11. Allard R and Faubert J (2007) Double dissociation between first- and second-order processing. Vision Research, 47(9):1129-1141.
  12. Legault I, Allard R and Faubert J (2007) Normal aging and the perception of curvature shapes. Optometry & Vision Science, 84(12):1087-1092.
  13. Allard R and Faubert J (2007) First- and second-order motion processing are separate at low temporal frequencies but common at high temporal frequencies. In Journal of Vision, vol. 7, pages 1006.
  14. Hanssens J-m, Allard R and Faubert J (2007) Progressive lenses distortions effect on postural stability in virtual reality environment. In Journal of Vision, vol. 7, pages 1026.
  15. Legault I, Allard R and Faubert J (2007) Adaptation to circular patterns influences the perception of distorted squares. In Journal of Vision, vol. 7, pages 273.
  16. Allard R and Faubert J (2007) Bypassing ocular aging deficits to assess perceptual functions. In Optometry and Vision Science, vol. 84.
  17. Masquelier T, Serre T, Thorpe SJ and Poggio T (2007) Learning simple and complex cells-like receptive fields from natural images: A plausibility proof. In VSS, Naples, FL.
  18. Masquelier T, Serre T, Thorpe S and Poggio T (2007) Learning complex cell invariance from natural videos: a plausibility proof. Technical Report CBCL Paper 269, MIT-CSAIL-TR 2007-060, Massachusetts Institute of Technology.
  19. Masquelier T and Thorpe SJ (2007) Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31.
  20. Arleo A and Rondi-Reig L (2007) Multimodal sensory integration and concurrent navigation strategies for spatial cognition in real and artificial organisms. Journal of Integrative Neuroscience, 6(3):327-366.
  21. Arleo A and Chavarriaga R (2007) (editors). Special Issue on Multisensory integration and parallel memory systems for spatial cognition. Journal of Integrative Neuroscience, 6(3).
  22. Bezzi M, Arleo A, Nieus T, D'Errico A, D'Angelo E and Coenen OJ-M (2007) Information theoretic quantification of neural transmission following changes in release probability. In Computational and Systems Neuroscience (Cosyne) 2007, pages 284.
  23. Lukšys G, Knüsel J, Sheynikhovich D, Sandi C and Gerstner W (2007) Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning. In B. Schölkopf and J. Platt and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 937-944, MIT Press, Cambridge, MA.
  24. Pasquale V, Massobrio P, Chiappalone M, Bologna LL and Martinoia S (2007) Self-organization and neuronal avalanches in networks of dissociated cortical neurons, Complexity in Neural Network Dynamics. In Tauc Conference In Neurobiology 2007, 13-14 December 2007, Gif-sur-Yvette (France).

2006

  1. Agís R, Díaz J, Ros E, Carrillo RR and Ortigosa EM (2006) Event-driven simulation engine for spiking neural networks on a chip. In International workshop on applied reconfigurable computing (ARC2006), Delft, the Netherlands.
  2. Ros E, Ortigosa EM, Agís E, Carrillo RR and Arnold M (2006) Real-time computing platform for spiking neurons (RT-Spike). IEEE Transactions on Neural Networks, 17(4):1050-1063.
  3. Ros E, Carrillo RR, Ortigosa EM, Barbour B and Agís R (2006) Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics. Neural Computation, 18(12):2959-2993.
  4. Allard R and Faubert J (2006) Same calculation efficiency but different internal noise for luminance- and contrast-modulated stimuli detection. Journal of Vision, 6(4):322-334.
  5. Allard R and Faubert J (2006) Contrast-modulated stimuli detection is unaffected by luminance-modulated noise. In Journal of Vision, vol. 6, pages 378.
  6. Legault I, Allard R and Faubert J (2006) Curvature perception in aging. In Journal of Vision, vol. 6, pages 197.
  7. Allard R, Carcenac G and Faubert J (2006) Aging and the sensitivity loss to complex stimuli. In Optometry and Vision Science, vol. 83.
  8. Masquelier T and Thorpe SJ (2006) Face feature learning with Spike Timing Dependent Plasticity. In Proc. of the 1st French conference on computational neuroscience (NeuroComp), Pont-á-Mousson, France.
  9. Bezzi M, Nieus T, Arleo A, D'Errico A, D'Angelo E and Coenen OJ-M (2006) Quantitative characterization of information transmission in a single neuron. In Ijspeert, A. J. et al., editors, Proceedings of the EPFL-Latsis Symposium on Dynamical principles for neuroscience and intelligent biomimetic devices, Switzerland.
  10. Bezzi M, Arleo A, Coenen OJ-M, Nieus T and D'Angelo E (2006) Quantitative characterization of information transmission in a single neuron. In Alexandre, F. et al., editors, Proceedings of Neurocomp Conference, vol. 1, pages 134-136.
  11. Khamassi M, Martinet L-E and Guillot A (2006) Combining Self-organizing Maps with Mixtures of Experts: Application to an Actor-Critic Model of Reinforcement Learning in the Basal Ganglia. In Nolfi, S. et al., editors, LNAI - Simulation of Adaptive Behavior, vol. 4095, pages 394-405, Springer Berlin.
  12. Sheynikhovich D, Chavarriaga R, Strösslin T and Gerstner W (2006) Adaptive sensory processing for efficient place coding. Neurocomputing, 69(10-12):1211-1214.

2005

  1. Agís R, Carrillo RR, Moran V, Gonzalez A, Morillas C, Pelayo F and Bernier JL (2005) Monitoring a mobile robot using a web interface. In III International conference on Multimedia and ICTs in Education (mICTE2005), Cáceres.
  2. Carrillo RR, Ros E, Ortigosa EM, Barbour B and Agís R (2005) Lookup Table Powered Neural Event-Driven Simulator. In 8th Internacional Work Conference on Artificial Neural Networks, IWANN 2005, Vilanova I la Geltrú, Barcelona, Spain.
  3. Ros E, Ortigosa EM, Agís R, Carrillo RR, Prieto A and Arnold M (2005) Spiking Neurons Computing Platform. In 8th Internacional Work Conference on Artificial Neural Networks, IWANN 2005, Vilanova I la Geltrú, Barcelona, Spain.
  4. Boucheny C, Carrillo RR, Ros E and Coenen OJ-M (2005) Real-Time Spiking Neural Network: An Adaptive Cerebellar Model. In 8th Internacional Work Conference on Artificial Neural Networks, IWANN 2005, Vilanova I la Geltrú, Barcelona, Spain.
  5. Agís R, Ros E, Pelayo FJ, Carrillo RR, Ortigosa EM, Rodríguez R, Díaz J and Mota S (2005) Sistema evolutivo de control de un brazo: Optimización de constantes dinámicas. In Jornadas sobre Computación Reconfigurable y Aplicaciones (JCRA 2005) (CEDI 2005), Granada, Spain.
  6. Allard R, Créach O and Faubert J (2005) Different internal noise but same calculation efficiency for processing luminance-modulated (LM) and contrast-modulated (CM) stimuli. In Journal of Vision, vol. 5, pages 483.
  7. Faubert J, Allard R and Hanssens J-M (2005) Effect of visual sway on postural balance in a full immersive environment. In Journal of Vision, vol. 5, pages 320.
  8. Legault I, Allard R and Faubert J (2005) Detecting curvature in first and second-order periodic line stimuli. In Journal of Vision, vol. 5, pages 464.
  9. Renaud J, Allard R, Yelle B, Yelle V and Faubert J (2005) Different presbyopic contact lenses for different needs. In Optometry and Vision Science, vol. 82.
  10. Masquelier T, Guyonneau R, Guilbaud N, Allegraud JM and Thorpe SJ (2005) Ultra-rapid visual form analysis using feedforward processing. In ECVP, La Coruña, Spain.
  11. Arleo A, Battaglia F, Déjean C, Zugaro MB and Wiener SI (2005) Rat anterodorsal thalamic head direction neurons are modulated by hippocampal theta rhythm. In Society for Neuroscience Abstracts, No. 198.18, Washington DC, USA.
  12. Arleo A (2005) Thesis of Habilitation to Direct Research: The neural bases of spatial cognition and information processing in the brain. Life Science Dept, University Pierre and Marie Curie Paris, France.
  13. Arleo A and Gerstner W (2005) Head direction cells and place cells in models for navigation and robotic applications. In Wiener, S. I. and Taube, J. S., editors, Head direction cells and the neural mechanisms of spatial orientation, chpt. 19, pages 433-457, MIT Press.
  14. Bezzi M, Arleo A and Coenen OJ-MD (2005) Exploring the neural code by information theory. In Aquilano, D. et al., editors, Proceedings of the NeuroMat Workshop, pages 183-189, Milan, Italy.
  15. Bezzi M, Nieus T, Arleo A, D'Angelo E and Coenen OJ-M (2005) Reti neuronali impulsive per il controllo di robot: il progetto SpikeForce. In Atti del Convegno Nazionale ANIPLA-BIOSYS 2005, pages 226-235, Milan, Italy.
  16. Rondi-Reig L, Petit G, Arleo A and Burguiere E (2005) The starmaze: a new paradigm to characterize multiple spatial navigation strategies. In Measuring Behavior, 5th Int Conf on Methods and Techniques in Behavioral Research, pages 386-390, Wageningen.
  17. D'Angelo E, Nieus T, Bezzi M, Arleo A and Coenen OJM (2005) Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum. In Cabestany, J. et al., editors, LNCS - Computational Intelligence and Bioinspired Systems, vol. 3512, pages 107-114.
  18. d'Erfurth A, Peyrache A, Guillot A and Arleo A (2005) Un modèle computationnel biomimétique de navigation pour le robot-rat Psikharpax. In Guéré, E., editors, Proceedings of the National Conference RJCIA, pages 327-330, resses Universitaires Grenoble.
  19. Coenen OJM, Bezzi M, Arleo A, Nieus T, D'Errico A and D'Angelo E (2005) Quantitative characterization of information transmission in a single neuron. In Society for Neuroscience Abstracts, vol. No. 823.3, Washington DC, USA.
  20. Boucheny C, Brunel N and Arleo A (2005) A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system. Journal of Computational Neuroscience, 18(2):205-227.
  21. Burguière E, Arleo A, Hojjati M, Elgersma Y, De Zeeuw CI, Berthoz A and Rondi-Reig L (2005) Spatial navigation impairment in mice lacking cerebellar LTD: a motor adaptation deficit?. Nature Neuroscience, 8(10):1292-1294.
  22. Chavarriaga R, Strösslin T, Sheynikhovich D and Gerstner W (2005) A Computational Model of Parallel Navigation Systems in Rodents. Neuroinformatics, 3(3):223-242.
  23. Chavarriaga R, Strösslin T, Sheynikhovich D and Gerstner W (2005) Competition between cue response and place response : A model of rat navigation behaviour. Connection Science, 17(1-2):167-183.
  24. Sheynikhovich D, Chavarriaga R, Strosslin T and Gerstner W (2005) Spatial Representation and Navigation in a Bio-inspired Robot. In S. Wermter and G. Palm and M. Elshaw, editors, Biomimetic Neural Learning for Intelligent Robots, vol. 3575, pages 245-264, Springer-Verlag GmbH, Lecture Notes in Artificial Intelligence 3575.
  25. Strösslin T, Chavarriaga R, Sheynikhovich D and Gerstner W (2005) Modelling path integrator recalibration using hippocampal place cells. In W. Duch and J. Kacprzyk and E. Oja, editors, Artificial Neural Networks: Biological Inspirations - ICANN 2005, Part I, pages 51-56, Springer-Verlag, Berlin Heidelberg, LNCS 3696 .
  26. Strösslin T, Sheynikhovich D, Chavarriaga R and Gerstner W (2005) Robust self-localisation and navigation based on hippocampal place cells. Neural Networks, 8(19):1125-1140.

2004

  1. O.J.M. Coenen CBMBDMMPAERRCEMORABBAATNED (2004) Adaptive spiking cerebellar models and real-time simulations. In 34th Society for Neuroscience annual meeting (2004), San Diego, USA.
  2. S. Mota ERJDEMORARC (2004) Real-time visual motion detection of overtaking cars for driving assistance using FPGAs. In 14th International Conference, FPL '2004, Antwerp, Belgium.
  3. J. Díaz ERSMRCRA (2004) Real time optical flow processing system. In 14th International Conference, FPL '2004, Antwerp, Belgium.
  4. R. Agís ERJDSMRCEOFPAP (2004) Sistema de control basado en visión y propiacepción de robots con FPGA. In JCRA'2004: IV Jornadas sobre Computación Reconfigurable y Aplicaciones, Barcelona.
  5. J. Díaz ERSMEMORCRA (2004) Cómputo de flujo óptico en tiempo real mediante FPGAs. In JCRA'2004: IV Jornadas sobre Computación Reconfigurable y Aplicaciones, Barcelona.
  6. A. Martinez FPChAMSRRRCBdP (2004) Generador automático de sistemas bioinspirados de visión en hardware reconfigurable. In JCRA'2004: IV Jornadas sobre Computación Reconfigurable y Aplicaciones, Barcelona.
  7. Allard R and Faubert J (2004) Neural networks: different problems require different learning rate adaptive methods. In Dougherty, Edward R. and Astola, Jaakko T. and Egiazarian, Karen O., editors, Image Processing: Algorithms and Systems III, pages 516-527, SPIE Proceedings Vol. 5298.
  8. Faubert J and Allard R (2004) Effect of visual distortion on postural balance in a full immersion stereoscopic environment. In Woods, Andrew J. and Merrit, John O. and Benton, Stephen A. and Bolas, Mark T., editors, Stereoscopic Displays and Virtual Reality Systems XI, pages 491-500, SPIE Proceedings Vol. 5291.
  9. Allard R and Faubert J (2004) Simulating the effect of age-related neurobiological alterations (NBAs) on a first- and second-order orientation-identification task. In Journal of Vision, vol. 4, pages 751.
  10. Allard R and Jocelyn F (2004) Simulating the effect of age-related neurobiological alterations on a visuo-perceptual task. In Perception, vol. 2004 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2004, pages Program No. 549.10.
  11. Arleo A, Smeraldi F and Gerstner W (2004) Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. IEEE Transactions on Neural Networks, 15(3):639-652.
  12. Wiener SI, Arleo A, Déjean C, Boucheny C, Khamassi M and Zugaro MB (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In FENS Abstracts, vol. 2: A007.19, Lisbon, Portugal.
  13. Arleo A, Boucheny C, Degris T, Brunel N and Wiener SI (2004) Head direction cells and spatial orientation in rats: Experimental findings and computational modeling. In Proceedings of the Workshop on Neurorobotic Models in Neuroscience and Neuroinformatics, Los Angeles, USA.
  14. Arleo A, Déjean C, Boucheny C, Khamassi M, Zugaro MB and Wiener SI (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In Proceedings of the XXIII Int Congress of the Barany Society, Paris, France.
  15. Arleo A, Degris T, Boucheny C and Wiener SI (2004) The neural basis of spatial orientation in rats: Electrophysiology, computational modeling, and robotics. In Meyer, J.-A. and Guillot, A., editors, Proceedings of the Int. Conference Towards Artificial Rodents, Paris, France.
  16. Zugaro MB, Arleo A, Déjean C, Burguière E, Khamassi M and Wiener SI (2004) Rat anterodorsal thalamic head direction neurons depend upon dynamic visual signals to select anchoring landmark cues. European Journal of Neuroscience, 20(2):530-536.
  17. Degris T, Lachèze L, Boucheny C and Arleo A (2004) A spiking neuron model of head-direction cells for robot orientation. In Schaal, S. et al., editors, Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, From Animals to Animats, vol. 8, pages 255-263, MIT Press.
  18. Degris T, Sigaud O, Wiener SI and Arleo A (2004) Rapid response of head direction cells to reorienting visual cues: A computational model. Neurocomputing, 58-60C:675-682.
  19. Burguière E, Rutteman M, Arleo A, Wiener SI, Zeeuw CIDe, Berthoz A and Rondi-Reig L (2004) Deficit during spatial navigation in L7-PKCI mice lacking cerebellar Long-Term Depression: a motor learning problem?. In FENS Abstracts, vol. 2, A042.5, Lisbon, Portugal.
  20. Coenen OJ-M, Boucheny C, Bezzi M, Marchal D, Arnold MP, Ros E, Carillo ROEM, Gis R, Barbour B, Arleo A, Nieus T and D'Angelo E (2004) Adaptive spiking cerebellar models and real-time simulations. In Society for Neuroscience Abstracts, No. 827.4, San Diego, USA.
  21. Bezzi M, Nieus T, Arleo A, D'Angelo E and Coenen OJ-M (2004) Information transfer at the mossy fiber-granule cell synapse of the cerebellum. In Society for Neuroscience Abstracts, No. 827.5, San Diego, USA.
  22. Wiener SI and Arleo A (2004) Neurobiologically based proposals for structuring navigation strategies for autonomous agents. In Meyer, J.-A. and Guillot, A., editors, Proceedings of the Int Conference Towards Artificial Rodents, Paris, France.
  23. Wiener SI, Arleo A, Déjean C, Boucheny C, Khamassi M and Zugaro MB (2004) Optic field flow signals update the activity of head direction cells in the rat anterodorsal thalamus. In Society for Neuroscience Abstracts, No. 209.2, San Diego, USA.

2003

  1. R. Agís ERRCEMOFJPAP (2003) Implementación en FPGAs de una Plataforma de Simulación de Neuronas de Pulsos. In JCRA '2003: III Jornadas sobre Computación Reconfigurable y Aplicaciones, Madrid.
  2. E.M. Ortigosa PMOACERRRCRA (2003) Implementación de Redes Neuronales con FPGAs para el Reconocimiento del Habla. In JCRA '2003: III Jornadas sobre Computación Reconfigurable y Aplicaciones, Madrid.
  3. E. Ros RARRCEMOFJPAP (2003) Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model. In 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN’2003, Maó, Menorca, Spain.
  4. E.M. Ortigosa ACERRRC (2003) FPGA implementation of a Perceptron-Like Neural Network for Embedded Applications. In 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN’2003, Maó, Menorca, Spain.
  5. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2003) Rapid spatial reorientation and head direction cells. Journal of Neuroscience, 23(8):3478-3482.
  6. Wiener SI and Arleo A (2003) Persistent activity in limbic system neurons: neurophysiological and modeling perspectives. Journal of Physiology P, 97(4-6):547-555.
  7. Déjean C, Zugaro MB, Arleo A and Wiener SI (2003) La parallaxe de mouvement décide quels repères visuels mettent à jour les cellules de direction de la tête chez le rat. In Proceedings of 6th French Society for Neuroscience Meeting, Rouen, France.
  8. Degris T, Brunel N and Arleo A (2003) Rapid response of head direction cells to reorienting visual cues: A computational model. In De Schutter, E., editors, Proceedings of the Computational Neuroscience Meeting, Elsevier.
  9. Arleo A (2003) Hippocampal place cells and head direction cells: Computational Modeling and Electrophysiological Experiments. In Buelthoff, H. H. et al., editors, Proceedings of the 6th Perception Conference, pages 40-41, Knirsch Verlag Germany.
  10. Zugaro MB, Arleo A, Déjean C and Wiener SI (2003) Dynamic visual signals are crucial for the selection of anchoring distal cues by anterodorsal thalamic head direction cells. In Society for Neuroscience Abstracts, No. 519.16, New Orleans, USA.

2002

  1. R. Agís RCACBdPFJP (2002) Entorno hardware/software para experimentación basado en micro robots. In JCRA'2002: II Jornadas de computación reconfigurable y aplicaciones, Almuñecar (Granada).
  2. Strösslin T, Krebser C, Arleo A and Gerstner W (2002) Combining Multimodal Sensory Input for Spatial Learning. In Dorronsoro, J. R., editors, LNCS - Artificial Neural Networks, vol. 2415, pages 87-92, Springer.
  3. Arleo A (2002) Processing multimodal sensory information for spatial learning and navigation: Computational modeling, robotics, and rat experiments. In Prescott, T. and Webb, B., editors, Proceedings of the Workshop on Robotics and Theoretical Biology, pages 9, Edinburgh, U.K..
  4. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2002) Rapid reorientation in rat anterodorsal thalamic head direction cells. In Society for Neuroscience Abstracts, No. 584.7, Orlando, USA.
  5. Arleo A and Gerstner W (2002) A model of rat spatial learning system: studying the interrelation between idiothetic and allothetic cues. In FENS Abstracts, vol. 1: A075.6.
  6. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2002) Rapid reorientation in rat anterodorsal thalamic head direction cells. In FENS Abstracts, vol. 1: A041.37.

2001

  1. Arleo A and Gerstner W (2001) Spatial orientation in navigating agents: modeling head-direction cells. Neurocomputing, 38-40(1-4):1059-1065.
  2. Arleo A, Smeraldi F, Hug S and Gerstner W (2001) Place Cells and Spatial Navigation based on 2D Feature Extraction, Path Integration, and Reinforcement Learning. In Leen, T. K. et al., editors, Advances in Neural Information Processing Systems, vol. 13, pages 89-95, MIT Press.
  3. Arleo A and Gerstner W (2001) Hippocampal spatial model for state space representation in robotic reinforcement learning. In Wiering, M. A., editors, Proceedings of the Fifth European Workshop on Reinforcement Learning, pages 1-3, CKI, Utrecht University.
  4. Arleo A and Gerstner W (2001) Spatial Memory and Cognitive Navigation, The Role of the Rat Hippocampus. In Apfelbach, R. et al., editors, Advances in Ethology 36, Supplements to Ethology, pages 56-57, Blackwell-Verlag.

2000

  1. Arleo A and Gerstner W (2000) Modeling rodent head-direction cells and place cells for spatial learning in bio-mimetic robotics. In Meyer, J.-A. et al., editors, Proceedings of the 6th Int Conf on Simulation of Adaptive Behavior, from Animals to Animats, pages 236-245, MIT Press, Cambridge MA.
  2. Arleo A and Gerstner W (2000) Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. Biological Cybernetics, 83(3):287-299.
  3. Arleo A (2000) Spatial learning and navigation in neuromimetic systems, modeling the rat hippocampus. ISBN 3-89825-247-7, Verlag-dissertation.
  4. Gurov I and Sheynikhovich D (2000) Interferometric data analysis based on Markov non-linear filtering methodology. Journal of the Optical Society of America A, 17(1):21-27.

1999

  1. Arleo A and Gerstner W (1999) Neuro-mimetic navigation systems: A computational model of the rat Hippocampus. In Drogoul, A. and Meyer, J.-A., editors, Proceedings of the Conference on Situated Artificial Intelligence (IAS99), pages 193-211, Hermès, Paris.
  2. Arleo A and Gerstner W (1999) A vision-driven model of hippocampal place cells and temporally asymmetric LTP-induction for action learning. In Willshaw, D. and Murry, A., editors, Proceedings of the Ninth International Conference on Artificial Neural Networks, vol. 1, pages 132-137, IEE Press, London.
  3. Arleo A, del R. Millán J and Floreano D (1999) Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation. IEEE Transctions on Robotics and Automation, 15(6):990-1000.
  4. Arleo A, del R. Millán J and Gerstner W (1999) Hippocampal spatial model for state space representation in reinforcement learning. Technical Report 99/316, Swiss Federal Institute of Technology, Lausanne, Switzerland.
  5. Arleo A and Gerstner W (1999) Spatial models and autonomous navigation in neuromimetic systems. In Proceedings of the 3rd Int Conference on Cognitive and Neural Systems, Boston, MA.

1998

  1. Arleo A, Floreano D and Gerstner W (1998) Modélisation de l'hippocampe: Représentation spatiale et navigation des systèmes autonomes. In Journées des Jeunes Chercheurs en Robotique, JJCR10, pages 25-30, Amiens, France.

1997

  1. del R. Millán J and Arleo A (1997) Neural network learning of variable grid-based maps for the autonomous navigation of robots. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, pages 40-45, IEEE Computer Society Press.
  2. Arleo A and del R. Millán J (1997) Software application NELVAM, NEural network Learning of VAriable grid-based Maps, European Copyright ref. 2545.
  3. Gurov I and Sheynikhovich D (1997) Calculating of phase characteristics of interferometric pattern by the method of Markov non-linear filtering. Optics and Spectroscopy, 83(1):147-152.

1996

  1. Arleo A (1996) Neural networks based on active local learning for efficient exploration of unknown environments. Master's Thesis, University of Mathematical Science, Milan, Italy.