Jean-Marc Fellous
Cognitive Neuroscience · 1998–2010
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 52 citations into it; #4,727 of 10,852 by trust here, #5,162 by citations
- Cellular and Molecular Neuroscience — 39 citations into it; #1,171 of 2,998 by trust here, #1,858 by citations
- Molecular Biology — 17 citations into it
- Neuroscience — 9 citations into it
- Reinforcement Learning — 8 citations into it
- Social Psychology — 8 citations into it
- Neurology — 6 citations into it
Whom Jean-Marc Fellous trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael E. Hasselmo
- Richard S. Sutton
- Andrew Barto
- Peter S. Dayan
- David A. McCormick
- P. R. Montague
- Wolfram Schultz
- Eric Schnell
- L. F. Abbott
- Vittorio Gallese †
Who trusts Jean-Marc Fellous overall
- Andrea Soltoggio
- Suri R E
- Peter Dürr
- Anthony N. Burkitt
- Dario Floreano
- Kai Olav Ellefsen
- Claudio Mattiussi
- Bargas J
- Olaf Sporns
- Eugene M. Izhikevich
Papers from Jean-Marc Fellous's perspective
Ordered by how strongly the researchers Jean-Marc Fellous trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- A Neural Substrate of Prediction and Reward
- Learning to predict by the methods of temporal differences
- An integrative theory of prefrontal cortex function.
- The debate over dopamine’s role in reward: the case for incentive salience
- Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task
- Time-Derivative Models of Pavlovian Reinforcement
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Temporal credit assignment in reinforcement learning
- Neuronlike adaptive elements that can solve difficult learning control problems
Their papers
- Computational models of reinforcement learning: the role of dopamine as a reward signal (2010) — 70 citations
- Emotions: from brain to robot. (2004) — 245 citations
- A new correlation-based measure of spike timing reliability (2003) — 359 citations
- Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. (2001) — 699 citations
- Computational Models of Neuromodulation (1998)