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Plos Computational Biology|June 18, 2015
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking ModelsChristian Pozzorini, Skander Mensi, Olivier Hagens, et al.Nature Communications|August 9, 2024
High-performance deep spiking neural networks with 0.3 spikes per neuronAna Stanojevic, Stanisław Woźniak, Guillaume Bellec, et al.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.Journal 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|November 12, 2019
One-shot learning and behavioral eligibility traces in sequential decision makingMarco P Lehmann, He A Xu, Vasiliki Liakoni, et al.Neuroimage|December 7, 2021
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision makingVasiliki Liakoni, Marco P Lehmann, Alireza Modirshanechi, et al.Journal of Neurophysiology|December 7, 2007
Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage tracesLaurent Badel, Sandrine Lefort, Romain Brette, et al.Pageof 12