Team: Computational Neuroscience Researcher | INRIA
Multi-task Learning with Modular Reinforcement Learning Jianyong Xue, Frédéric Alexandre From Animals to Animats 16. 2022-01-01 10.1007/978-3-031-16770-6_11
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture Ikram Chraibi Kaadoud, Nicolas Rougier, Frédéric Alexandre Knowledge-Based Systems. 2021-10-01 10.1016/j.knosys.2021.107657
A global framework for a systemic view of brain modeling Frederic Alexandre Brain Inf.. 2021-02-16 10.1186/s40708-021-00126-4
Reinforcement Symbolic Learning Chloé Mercier, Frédéric Alexandre, Thierry Viéville Lecture Notes in Computer Science. 2021-01-01 10.1007/978-3-030-86380-7_49
A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning Pramod Kaushik, Jérémie Naudé, Surampudi Bapi Raju, Frédéric Alexandre . 2020-02-07 10.1101/2020.02.06.936997
Interacting roles of lateral and medial Orbitofrontal cortex in decision-making and learning : A system-level computational model Bhargav Teja Nallapu, Frédéric Alexandre . 2019-12-06 10.1101/867515
Pattern separation in the hippocampus: distinct circuits under different conditions Randa Kassab, Frédéric Alexandre Brain Struct Funct. 2018-04-11 10.1007/s00429-018-1659-4
Visual Target Selection Emerges from a Bio-inspired Network Topology Wahiba Taouali, Nicolas Rougier, Frédéric Alexandre Studies in Computational Intelligence. 2012-01-01 10.1007/978-3-642-27534-0_21
A Distributed Model of Spatial Visual Attention Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre Biomimetic Neural Learning for Intelligent Robots. 2005-01-01 10.1007/11521082_4