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Dr. Angelo Arleo (Director of Research CNRS)

Vision Institute
Aging in Vision and Action Lab
CNRS – INSERM – University Pierre&Marie Curie
17, rue Moreau F-75012 Paris, France
Phone: +33 (0)1 53 46 26 52
Mobile: +33 (0)6 46 84 09 56

email:

Angelo Arleo is a Director of Research (DR2) at CNRS and a team leader at the Vision Institute, Paris, where he explores the perceptual and cognitive consequences of visual aging in humans. He is the Chairholder of the ANREssilor research chair SILVERSIGHT, which pioneers fundamental research on healthy visual aging, action and autonomy to foster innovative health care developments.

His research is primarily centred on the neural processes mediating multisensory integration, contextual learning, and spatial cognitive functions. He also focuses on adaptive neural computation and brain information processing. His approach combines experimental neuroscience and computational modelling to cross-link different organization levels, from single cell to behaviour. In addition, the validation of models through robotic implementations inscribes some aspects of his research within a neuroengineering framework.

He received a MSc degree from the University of Mathematical Science of Milan, Italy, in 1996. He joined Wulfram Gerstner’s Laboratory of Computational Neuroscience at the EPFL (Swiss Federal Institute of Technology Lausanne, Switzerland) where he received his PhD in 2000. He did a postdoctoral training in experimental neuroscience in Alain Berthoz’s Laboratory of Physiology of Perception and Action at Collège de France, Paris, from 2001-2003. He worked as an associate R&D fellow at CSL Sony, Paris, from 2004 to 2006. He received his Habilitation to Direct Research (HDR) in Life Science from the University Pierre and Marie Curie, Paris, in 2005. He was appointed as a CNRS researcher in 2006. From 2007 to 2013 he directed the Adaptive NeuroComputation (ANC) group in the unit of Neurobiology of Adaptive Processes, directed by Jean Mariani, at the University Pierre & Marie Curie, in Paris. In 2012 he was appointed as a Director of Research at CNRS. In 2014, he joined the Vision Institute, directed by José-Alain Sahel, as the head of the new Aging in Vision and Action research lab.

Keywords: Healthy aging, spatial cognition, active exploration, multisensory integration, neural coding, learning mechanisms, memory, experimental neuroscience, neurocomputational modelling, autonomy loss, visual aids, rehabilitation.

 

 CV and Publication List (pdf): [ download ]

 

Publications

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2015

  1. 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).

2013

  1. 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.
  2. Sheynikhovich D, Otani S and Arleo A (2013) Dopaminergic control of LTD/LTP threshold in prefrontal cortex. Journal of Neuroscience, 33(34):13914-26.
  3. 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.
  4. Passot J-B, Luque NR and Arleo A (2013) Coupling internal cerebellar models enhances online adaptation and supports online consolidation in sensorimotor tasks. Frontiers in Computational Neuroscience, 7(95).
  5. 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.
  6. 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.
  7. 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.
  8. 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.

2012

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Brasselet R, Johansson RS and Arleo A (2011) Quantifying neurotransmission reliability through metrics based information analysis. Neural Computation, 23(4):852-881.
  8. 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.
  9. 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.

2010

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. 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).
  18. 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.
  19. 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.

2009

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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. 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.
  2. 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.
  3. 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.
  4. 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.

2007

  1. 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.
  2. 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).
  3. 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.

2006

  1. 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.
  2. 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.

2005

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.

2004

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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. Zugaro MB, Arleo A, Berthoz A and Wiener SI (2003) Rapid spatial reorientation and head direction cells. Journal of Neuroscience, 23(8):3478-3482.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. 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.
  2. 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..
  3. 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.
  4. 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.
  5. 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.

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.

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.