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Proceedings of the National Academy of Sciences of the United States of America|September 25, 2025
Novelty as a drive of human exploration in complex stochastic environmentsAlireza Modirshanechi, Wei-Hsiang Lin, He A Xu, et al.Biological Cybernetics|November 18, 2008
The quantitative single-neuron modeling competitionRenaud Jolivet, Felix Schürmann, Thomas K Berger, et al.Elife|January 30, 2013
Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivoVerena Pawlak, David S Greenberg, Henning Sprekeler, et al.Plos Computational Biology|June 3, 2021
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-makingHe A Xu, Alireza Modirshanechi, Marco P Lehmann, et al.Nature Communications|February 12, 2022
Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidationDouglas Feitosa Tomé, Sadra Sadeh, Claudia ClopathProceedings of the National Academy of Sciences of the United States of America|July 1, 2025
Learning predictive signals within a local recurrent circuitToshitake Asabuki, Colleen J Gillon, Claudia ClopathNature Communications|July 12, 2024
Learning to express reward prediction error-like dopaminergic activity requires plastic representations of timeIan Cone, Claudia Clopath, Harel Z ShouvalPlos Computational Biology|August 7, 2023
Synaptic weights that correlate with presynaptic selectivity increase decoding performanceJúlia V Gallinaro, Benjamin Scholl, Claudia ClopathJournal of Neurophysiology|December 14, 2011
Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanismsSkander Mensi, Richard Naud, Christian Pozzorini, et al.Elife|March 17, 2023
Learning predictive cognitive maps with spiking neurons during behavior and replaysJacopo Bono, Sara Zannone, Victor Pedrosa, et al.Pageof 22