Alexandre Payeur - Publications

Affiliations: 
2016-2018 University of Ottawa, Ottawa, ON, Canada 

8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Harkin EF, Lynn MB, Payeur A, Boucher JF, Caya-Bissonnette L, Cyr D, Stewart C, Longtin A, Naud R, Beique JC. Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework. Elife. 12. PMID 36655738 DOI: 10.7554/eLife.72951  0.453
2021 Payeur A, Guerguiev J, Zenke F, Richards BA, Naud R. Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits. Nature Neuroscience. 24: 1780. PMID 34728832 DOI: 10.1038/s41593-021-00970-x  0.592
2021 Williams E, Payeur A, Gidon A, Naud R. Neural burst codes disguised as rate codes. Scientific Reports. 11: 15910. PMID 34354118 DOI: 10.1038/s41598-021-95037-z  0.616
2021 Payeur A, Guerguiev J, Zenke F, Richards BA, Naud R. Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits. Nature Neuroscience. PMID 33986551 DOI: 10.1038/s41593-021-00857-x  0.634
2019 Payeur A, Béïque JC, Naud R. Classes of dendritic information processing. Current Opinion in Neurobiology. 58: 78-85. PMID 31419712 DOI: 10.1016/J.Conb.2019.07.006  0.687
2017 Dumont G, Payeur A, Longtin A. A stochastic-field description of finite-size spiking neural networks. Plos Computational Biology. 13: e1005691. PMID 28787447 DOI: 10.1371/Journal.Pcbi.1005691  0.608
2015 Payeur A, Maler L, Longtin A. Oscillatorylike behavior in feedforward neuronal networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 012703. PMID 26274199 DOI: 10.1103/Physreve.92.012703  0.64
2014 Mejias JF, Payeur A, Selin E, Maler L, Longtin A. Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays. Frontiers in Computational Neuroscience. 8: 19. PMID 24616694 DOI: 10.3389/Fncom.2014.00019  0.548
Show low-probability matches.