Richard Naud

Affiliations: 
University of Ottawa, Ottawa, ON, Canada 
Area:
Simplified Models
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"Richard Naud"
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Publications

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Richards BA, Lillicrap TP, Beaudoin P, et al. (2019) A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770
Soares C, Trotter D, Longtin A, et al. (2019) Parsing Out the Variability of Transmission at Central Synapses Using Optical Quantal Analysis. Frontiers in Synaptic Neuroscience. 11: 22
Naud R, Longtin A. (2019) Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. Journal of Mathematical Neuroscience. 9: 8
Naud R, Longtin A. (2019) Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. Journal of Mathematical Neuroscience. 9: 3
Naud R, Sprekeler H. (2018) Sparse bursts optimize information transmission in a multiplexed neural code. Proceedings of the National Academy of Sciences of the United States of America
Naud R, Houtman DB, Rose GJ, et al. (2015) Counting on dis-inhibition: a circuit motif for interval counting and selectivity in the anuran auditory system. Journal of Neurophysiology. jn.00138.2015
Pozzorini C, Mensi S, Hagens O, et al. (2015) Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. Plos Computational Biology. 11: e1004275
Deger M, Schwalger T, Naud R, et al. (2014) Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062704
Naud R, Bathellier B, Gerstner W. (2014) Spike-timing prediction in cortical neurons with active dendrites. Frontiers in Computational Neuroscience. 8: 90
Gerstner W, Kistler WM, Naud R, et al. (2014) Neuronal dynamics: From single neurons to networks and models of cognition Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. 1-577
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