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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2019

  1. Ramanoel S, Durteste M, Bizeul A, Bécu M, Habas C and Arleo A (2019) Age-related differences in the neural bases of landmark versus geometric spatial cue processing. In Colloque International: Vieillissement, tours, contours et perspectives, Tours, France.
  2. Ramanoel S, Durteste C, Bizeul A, Ozier-Lafontaine A, Bécu M, Rossignol N, Habas C and Arleo A (2019) Distinct cerebral structures are involved in landmark vs. geometry based spatial navigation. In Society for Neuroscience (SfN), Chicago, USA.
  3. Agathos CP, Bécu M, Baranton K, Bernardin D and Arleo A (2019) Cognitive-motor interference in older adults while navigating in an ecological environment. In International Society for Posture and Gait Research World Congress (ISPGR), Seville.
  4. Silvestre D, Arleo A and Allard R (2019) Considerable age-related contrast sensitivity loss due to less efficient cones. In ARVO Annual Meeting 2019, Vancouver, Canada.
  5. Lagrené K, Bécu M, Seiple W, Raphanel Bataille M, Combariza S, Paques M, Aubois A, Duclos B, Girmens J-F, Eandi C, Mohand-Said S and Arleo A (2019) Healthy and pathological visual aging in a French follow-up cohort study. In ARVO Annual Meeting 2019, Vancouver, Canada.
  6. Arleo A, Becu M, Tatur G and Sheynikhovich D (2019) Impact of healthy aging on ocular fixation stability and microsaccades during optic flow. In ARVO Annual Meeting 2019, Vancouver, Canada.

2018

  1. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C, Ozier-Lafontaine A and Arleo A (2018) Age-related preference for geometric cues: when aging does not impair allocentric strategies. In iSCAN 2018, Magdeburg, Germany.
  2. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C and Arleo A (2018) Age-related preference for geometric cues during real-world navigation: behavioral and neuroimaging correlates. In Interdisciplinary Navigation Symposium (iNav), Mont-Tremblant, Canada.
  3. Bécu M, Tatur G, Sheynikhovich D, Agathos C, Bologna LL and Arleo A (2018) Age-related preference for geometric cues during real-world navigation. In Forum of Neuroscience (FENS), Berlin, Germany, pages 345.
  4. Bécu M, Tatur G, Sheynikhovich D, Ramanoel S, Agathos C and Arleo A (2018) Age-related preference for geometric cues during real-world navigation: behavioral and neuroimaging correlates. In Spatial Cognition 2018, Tübingen, Germany.
  5. Huth J, Masquelier T and Arleo A (2018) What has Deep Learning ever done for us? Simulating the Visual System with convis. In 11th FENS Forum 2018.
  6. Li T, Arleo A and Sheynikhovich D (2018) Bidirectional interactions between place-cells and grid-cells in the vision- and self-motion driven spatial representation model. In Spatial Cognition 2018, Tübingen, Germany, Berlin, Germany.
  7. Li T, Arleo A and Sheynikhovich D (2018) Bidirectional interactions between place-cells and grid-cells in the vision- and self-motion driven spatial representation model. In 11th FENS Forum of Neuroscience, Berlin, Germany.
  8. Li T, Arleo A and Sheynikhovich D (2018) Vision-based model of primate spatial cognition: coordinate transformations, limited visual field and reorientation. In 2nd Interdisciplinary Navigation Symposium, iNAV 2018, Quartier Tremblant, Canada.
  9. Nael V, Scherlen AC, Arleo A and Helmer C (2018) Impact of sensory impairment on cognition and autonomy in older adults. In French Society of Ophthalmology, Paris, France.
  10. Nael V, Monfermé S, Moreau G, Cougnard-Grégoire A, Scherlen A-C, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2018) Uncorrected refractive errors in older adults: prevalence according to the presence of age-related eye disease. In ARVO 2017, Baltimora, USA.
  11. Nael V, Moreau G, Pérès K, Arleo A, Scherlen A-C, Dartigues J-F, Tzourio C, Berr C, Delcourt C and Helmer C (2018) Visual loss and cognitive decline in older adults: resuls from a French population-based cohort study. In Alzheimer Association International Conference, Chicago, USA.
  12. Boucly C, Tatur G, Arleo A and Tartaglia EM (2018) Eye-movements as a signature of age-related differences in global planning strategies for spatial navigation. In GDR ISIS 2018, Paris.
  13. Silvestre D, Arleo A and Allard R (2018) Absorption efficiency of cones is considerably affected with heathy aging. In ECVP.

2017

  1. 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.
  2. 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).
  3. Bécu M, Tatur G, Bourefis A, Sheynikhovich D and Arleo A (2017) Age-related changes in gaze dynamics during real-world navigation. In Poster session presented at European Conference on Eye Movements, Wuppertal, Germany.
  4. Bécu M, Tatur G, DeDieuleveult A, Wu C, Marchesotti S, Sheynikhovich D and Arleo A (2017) Effect of aging on ocular fixation and microsaccades during optic flow. In Poster session presented at European Conference on Eye Movements, Wuppertal, Germany.
  5. Bécu M, Tatur G, Bourefis A, Bologna LL, Sheynikhovich D and Arleo A (2017) Age-related changes in gaze dynamics during real-world navigation. In Journal of Vision, vol. 17(10), pages 540.
  6. Huth J, Masquelier T and Arleo A (2017) The convis toolbox: Population Simulation of the Visual System with Automatic Differentiation using Theano. In CNS.
  7. Huth J, Masquelier T and Arleo A (2017) The convis toolbox: Population Simulation of the Visual System with Automatic Differentiation using Theano. In Bernstein Conference.
  8. Huth J, Mayer E, Masquelier T and Arleo A (2017) Effects of Noise on Contrast Gain Control. In European Retina Meeting.
  9. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In HBP 2017: Collaborative and Integrative Modeling of Hippocampus, Paris, France.
  10. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In 3e Symposium des Neurosciences Computationnelles de l'UPMC, Paris, France.
  11. Li T, Arleo A and Sheynikhovich D (2017) Coordinate-transformation spiking neural network for spatial navigation. In 26th Annual Computational Neuroscience Meeting (CNS2017), vol. 18 (Suppl), pages P239, BMC Neuroscience 18 (Suppl).
  12. Nael V, Pérès K, Dartigues JF, Arleo A, Scherlen AC, Tzourio C, Berr C, Delcourt C and Helmer C (2017) Visual loss and 12 years risk of dementia in older adults:a french population-based cohort study. In Alzheimer’s and Parkinson’s Diseases 2017, Vienna, Austria.
  13. Nael V, Monfermé S, Moreau G, Cougnard-Grégoire A, Scherlen AC, Arleo A, Korobelnik JF, Delcourt C and Helmer C (2017) Uncorrected refractive errors in older adults: prevalence according to the presence of age-related eye disease. In Association for Research in Vision and Ophtalmology 2017, Baltimore, Md, US.
  14. Luque N, Naveros F, Carrillo R, Ros E and Arleo A (2017) Silent and bursting states of Purkinje cell activity modulate VOR adaptation. In CNS 2017, Antwerp, Belgium.
  15. 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.
  16. 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.
  17. Lagrené K and Arleo A (2017) Vieillissement naturel des fonctions visuelles. In Robert, P-Y., editors, Rapport Société Francaise d'Ophtalmologie 2017 - Déficiences Visuelles, chpt. 3, pages 41-45, Elsevier.
  18. Arleo A, Becu M, Tatur G, DeDieuleveult A, Wu C, Marchesotti S and Sheynikhovich D (2017) Effect of aging on ocular fixation and microsaccades during optic flow. In Journal of vision, vol. 17(10), pages 890.

2016

  1. Huth J, Masquelier T, Allard R and Arleo A (2016) Modeling the Visual System with respect to Aging. In IK Interdisciplinary College.
  2. Huth J, Masquelier T, Allard R and Arleo A (2016) Using Equivalent Internal Noise as a Constraint on Vision Models. In Bernstein Conference.
  3. Allard R and Arleo A (2016) Perception of global object motion without integration of local motion signals. In European Conference on Visual Perception.
  4. Allard R and Arleo A (2016) Position-based vs energy-based motion processing. In Vision Sciences Society meeting, St. Pete Beach, Florida, USA.
  5. 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.
  6. Arleo A (2016) Vieillissement naturel, vision et cognition. In CNRS, editors, Ecole Th'matique Interdisciplinaire CNRS 2016, pages 141-149.
  7. 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).

2015

  1. 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.
  2. 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.

2014

  1. 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.

2013

  1. 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.
  2. 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.

2012

  1. 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.
  2. 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.

2011

  1. 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.
  2. 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.
  3. 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.
  4. 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.

2010

  1. 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).
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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. 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.
  2. 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.
  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) Modeling cerebellar learning for spatial cognition. In BMC Neuroscience - Eighteenth Annual Computational Neuroscience Meeting, vol. 10 (Suppl1), pages 141.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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. 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.
  2. 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. 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.

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. 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.

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. 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. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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. 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.
  2. 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.
  3. 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.
  4. 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. 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..
  2. 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.
  3. 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.
  4. 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 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 (2000) Spatial learning and navigation in neuromimetic systems, modeling the rat hippocampus. ISBN 3-89825-247-7, Verlag-dissertation.

1999

  1. 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.
  2. 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.

1997

  1. 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.