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SBRI is in "Le Monde"

Published on January 31, 2012


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Mehdi Khamassi

Position: Currently researcher at CNRS ISIR UMR7222

Company: CNRS


Mailing Address:
18 avenue Doyen Lepine

69675 - Bron Cedex - France
External Link: http://www.isir.upmc.fr/index.php?op=view_profil&id=82&old=N&lang=en
E-mail: Mehdi.Khamassi@inserm.fr
Phone:
Fax:


Group(s):
Cortical Networks for Cognitive Interaction - Teams

Personnal pages
Publications

Research interest

Medhi Khamassi was a post-doc fellow in the team of Peter Ford Dominey and Emmanuel Procyk. His work aimed at proposing a computational model of the dorsolateral prefrontal and anterior cingulate cortices' involvement in the exploration-exploitation trade-off during visuo-motor sequences learning. He completed a Master Degree in Cognitive Science at University of pierre et Marie Curie in 2003, and another Master Degree in Computer Science and Engineering at CNAM-ENSIIE in 2003. He obtained a PhD in Neuroscience in 2007 from the University Pierre et Marie Curie, developping computational models of reinforcement learning and decison-making, and pursuing neurophysiological recordings in the rat striatum, prefrontal cortex and hippocampus during spatial decision-making tasks. In 2008, he was a guest post-doc researcher in Kenji Doya's NC Unit, at Okinawa Institute of Science and Technology. Since October 2010, he is a permanent researcher at the French National Center for Scientific Research, CNRS in the Institute of Intelligent Systems and Robotics (ISIR UMR 7222), Paris.
Publications
Khamassi M, Wilson C, Rothé R, Quilodran R, Dominey PF, Procyk E (2011) Meta-learning, cognitive control, and physiological interactions between medial and lateral prefrontal cortex. Neural Basis of Motivational and Cognitive Control, MIT Press, publisher. in press.
Caluwaerts K, Grand C, N’Guyen S, Dollé L, Guillot A, Khamassi M (2011) Design of a biologically inspired navigation system for the Psikharpax rodent robot. International workshop on bio-inspired robots, Nantes, France
Khamassi M, Quilodran R, Enel P, Procyk E, Dominey PF (2010) A computational model of integration between reinforcement learning and task monitoring in the prefrontal cortex. (In press) In Proc. Int. Conf. on Simulation of Adaptive Behaviour. Eds Springer Verlag. download
Peyrache A, Benchenane K, Khamassi M, Wiener SI, Battaglia FP (2010) Sequential reinstatement of neocortical activity during slow oscillations depends on cells' global activity Front Syst Neurosci 3:18 download
Benchenane K, Peyrache A, Khamassi M, Battaglia FP, Wiener SI. (2010) Coherent theta oscillations and reorganization of spike timing in the hippocampal-prefrontal network upon learning. Neuron 66 (6): 921-936 download
Peyrache A, Khamassi M, Benchenane K, Wiener SI, Battaglia FP (2009) Replay of rule-learning related neural patterns in the prefrontal cortex during sleep. Nat Neurosci 12(7):919-26. download
Peyrache A, Benchenane K, Khamassi M, Wiener SI & Battaglia FP. (2009) Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. J Comput Neurosci 29(1-2):309-25
Khamassi M, Mulder AB, Tabuchi E, Douchamps V, Wiener SI. (2008) Anticipatory reward signals in ventral striatal neurons of behaving rats Eur J Neurosci 1849-66 download
Dolle L, Khamassi M, Girard B, Guillot A, Chavarriaga R (2008) Analyzing interactions between navigation strategies using a computational model of action selection. Lecture Notes in Computer ciences Springer, publisher. p 71-86 download
Battaglia FP, Peyrache A, Khamassi M, Wiener SI (2008) Spatial decisions and neuronal activity in hippocampal projection zones in prefrontal cortex and striatum Hippocampal place fileds: Relevance to learning and memory Oxford University Press, publisher
Battaglia FP, Benchenane K, Khamassi M, Peyrache A, Wiener SI (2007) Neural ensembles and local field potentials in the hippocampoprefrontal cortex system during spatial learning and strategy Proc first Int Conference on Cognitive Neurodynamics (ICCN)
Khamassi M (2007) Complementary roles of the rat prefrontal cortex and striatum in reward-based learning and shifting navigation strategies Phd Thesis Université Paris VI
Wiener SI, Khamassi M, Peyrache A, Douchamps V, Tierney PL, Battaglia F (2006) Transitions in behaviorally correlated activity in medial prefrontal neurons of rats acquiring and switching strategies in a Y-maze Society for Neuroscience Abstracts
Khamassi M, Martinet LE, Guillot A (2006) Self-organising maps with mixture of exprets: Application to an Actor-Critic Model of reinforcement Learning in the basal Ganglia In: From Animals to animats9, Springer Verlag, publisher. download
Dolle L, Khamassi M, Guillot A, Chavarriaga R (2006) Coordination of learningmodules for competing navigation strategies into different mazes Poster presented at workshop Parallel memory systems for spatial cognition download
Peyrache A, Benchenane K, Khamassi M, Wiener SI, Battaglia FP. (2006) Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. J Comput Neurosci download
Khamassi M, Lachèze L, Girard B, Berthoz A, Huillot, A (2005) Actor-critic models of reinforcement learning in the basal ganglia: From natural to artificial rats Adaptive Behaviour, special issue towards artificial rodents, p 131-48 download
Meyer JA, Guillot A, Girard B, Khamassi M, Pirim P, Berthoz A (2005) The Psikharpax project: Towards building an artificial rat Robotics and autonomous systems p 211-223 download
Zugaro MB, Arleo A, Déjean C, Burguière E, Khamassi M, Wiener SI. (2004) Rat anterodorsal thalamic head direction neurons depend upon dynamic visul signals to select anchoring landmark cues European Journal of Neuroscience p 530-536 download
Filliat D, Girard B, Guillot A, Khamassi M, Lachèze L, Meyer JA (2004) State of the artificial rat Psikharpax From Animals to Animats 8: Proc of the 7th Int Conference on simulation of Adaptive Behav MIT Press, Publisher download
Khamassi M, Girard B, Guillot A, Berthoz A (2004) Comparing three Critic models of reinforcement learning on the basal ganglia connected to a detailed actor in a S-R task Proc of the 8th Int Conference on Intelligent autonomous systems IOS Press, publisher p 430-437
Khamassi M, Girard B, Guillot A, Berthoz A (2003) Mécanismes neuromimétiques d'apprentissage par renforcement dans l'architecture de contrôle du rat artificiel Psikharpax Poster presented at the French Conference on artificial learning (CAp) within the frame of the AFIA platform
Khamassi M (2003) Un modèle d'apprentissage par renforcement das une architecture de contrôle de la sélection de l'action chez le rat artificiel Psikharpax Spécialité sciences coginitves download



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