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Nature Neuroscience|February 17, 2009
Reinforcement learning in populations of spiking neuronsRobert Urbanczik, Walter SennNeural Computation|May 12, 2009
A gradient learning rule for the tempotronRobert Urbanczik, Walter SennNeuron|February 11, 2014
Learning by the dendritic prediction of somatic spikingRobert Urbanczik, Walter SennPlos Computational Biology|October 3, 2012
Spike-based decision learning of Nash equilibria in two-player gamesJohannes Friedrich, Walter SennProceedings of the National Academy of Sciences of the United States of America|December 17, 2021
Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependenceMarcus K Benna, Stefano FusiNature Neuroscience|November 8, 2016
Computational principles of synaptic memory consolidationMarcus K Benna, Stefano FusiNature Communications|February 23, 2023
Abstract representations emerge naturally in neural networks trained to perform multiple tasksW Jeffrey Johnston, Stefano FusiBiorxiv : the Preprint Server for Biology|October 17, 2024
Modular representations emerge in neural networks trained to perform context-dependent tasksW Jeffrey Johnston, Stefano FusiAnnual Review of Neuroscience|March 25, 2010
Emotion, cognition, and mental state representation in amygdala and prefrontal cortexC Daniel Salzman, Stefano FusiPageof 15