Mehdi Khamassi
Mehdi Khamassi
CNRS research director, Sorbonne Université
Verified email at - Homepage
Cited by
Cited by
Coherent theta oscillations and reorganization of spike timing in the hippocampal-prefrontal network upon learning
K Benchenane, A Peyrache, M Khamassi, PL Tierney, Y Gioanni, ...
Neuron 66 (6), 921-936, 2010
Replay of rule-learning related neural patterns in the prefrontal cortex during sleep
A Peyrache, M Khamassi, K Benchenane, SI Wiener, FP Battaglia
Nature neuroscience 12 (7), 919-926, 2009
Contextual modulation of value signals in reward and punishment learning
S Palminteri, M Khamassi, M Joffily, G Coricelli
Nature communications 6 (1), 8096, 2015
Dopaminergic control of the exploration-exploitation trade-off via the basal ganglia
MD Humphries, M Khamassi, K Gurney
Frontiers in Decision Neuroscience, 2012
Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution
A Peyrache, K Benchenane, M Khamassi, SI Wiener, FP Battaglia
Journal of computational neuroscience 29 (1), 309-325, 2010
Sustainable computational science: the ReScience initiative
NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ...
PeerJ Computer Science 3, e142, 2017
Integrating cortico-limbic-basal ganglia architectures for learning model-based and model-free navigation strategies
M Khamassi, MD Humphries
Frontiers in behavioral neuroscience 6, 79, 2012
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations
F Lesaint, O Sigaud, SB Flagel, TE Robinson, M Khamassi
PLoS Computational Biology 7375 (2014), 1-7, 2014
The Psikharpax project: Towards building an artificial rat
JA Meyer, A Guillot, B Girard, M Khamassi, P Pirim, A Berthoz
Robotics and Autonomous Systems 50 (4), 211-223, 2005
Actor–Critic models of reinforcement learning in the basal ganglia: from natural to artificial rats
M Khamassi, L Lachèze, B Girard, A Berthoz, A Guillot
Adaptive Behavior 13 (2), 131-148, 2005
Robot cognitive control with a neurophysiologically inspired reinforcement learning model
M Khamassi, S Lallée, P Enel, E Procyk, PF Dominey
Frontiers in Neurorobotics, 2011
Behavioral regulation and the modulation of information coding in the lateral prefrontal and cingulate cortex
M Khamassi, R Quilodran, P Enel, PF Dominey, E Procyk
Cerebral Cortex 25 (9), 3197-3218, 2015
Dopamine blockade impairs the exploration-exploitation trade-off in rats
F Cinotti*, V Fresno*, N Aklil, E Coutureau, B Girard, AR Marchand°, ...
Scientific reports 9 (1), 1-14, 2019
A biologically inspired meta-control navigation system for the psikharpax rat robot
K Caluwaerts, M Staffa, S N’Guyen, C Grand, L Dollé, A Favre-Félix, ...
Bioinspiration & biomimetics 7 (2), 025009, 2012
Toward Self-Aware Robots
R Chatila, E Renaudo, M Andries, RO Chavez-Garcia, P Luce-Vayrac, ...
Frontiers in Robotics and AI 5, 88, 2018
Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
S Bavard, M Lebreton, M Khamassi, G Coricelli, S Palminteri
Nature communications 9 (1), 4503, 2018
Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning
G Viejo, M Khamassi, A Brovelli, B Girard
Frontiers in behavioral neuroscience 9, 225, 2015
Anticipatory reward signals in ventral striatal neurons of behaving rats
M Khamassi*, AB Mulder*, E Tabuchi, V Douchamps, SI Wiener
European Journal of Neuroscience 28 (9), 1849-1866, 2008
Medial prefrontal cortex and the adaptive regulation of reinforcement learning parameters.
M Khamassi, P Enel, PF Dominey, E Procyk
Progress in Brain Research 3 (18), 309-325, 2013
Global reward state affects learning and activity in raphe nucleus and anterior insula in monkeys
M Wittmann, E Fouragnan, D Folloni, M Klein-Flugge, B Chau, ...
Nature Communications, 2020
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