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).

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. 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.
  3. 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.

2011

  1. 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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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).

2009

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

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.

2006

  1. 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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

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. 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.

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.

2001

  1. 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.
  2. 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.

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.

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.

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.