Richard Naud - Publications

Affiliations: 
University of Ottawa, Ottawa, ON, Canada 
Area:
Simplified Models

37 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
2022 Harkin EF, Béïque JC, Naud R. A User's Guide to Generalized Integrate-and-Fire Models. Advances in Experimental Medicine and Biology. 1359: 69-86. PMID 35471535 DOI: 10.1007/978-3-030-89439-9_3  0.456
2021 Vercruysse F, Naud R, Sprekeler H. Self-organization of a doubly asynchronous irregular network state for spikes and bursts. Plos Computational Biology. 17: e1009478. PMID 34748532 DOI: 10.1371/journal.pcbi.1009478  0.774
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  0.67
2021 Harkin EF, Shen PR, Goel A, Richards BA, Naud R. Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation. Neuroscience. PMID 34358629 DOI: 10.1016/j.neuroscience.2021.07.026  0.419
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  0.337
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  0.704
2021 Zenke F, Bohté SM, Clopath C, Comşa IM, Göltz J, Maass W, Masquelier T, Naud R, Neftci EO, Petrovici MA, Scherr F, Goodman DFM. Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron. 109: 571-575. PMID 33600754 DOI: 10.1016/j.neuron.2021.01.009  0.751
2020 Lynn MB, Lee KFH, Soares C, Naud R, Béïque JC. A Synthetic Likelihood Solution to the Silent Synapse Estimation Problem. Cell Reports. 32: 107916. PMID 32697998 DOI: 10.1016/J.Celrep.2020.107916  0.349
2020 Naud R, Longtin A. Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. Journal of Mathematical Neuroscience. 10: 6. PMID 32314104 DOI: 10.1186/s13408-020-00083-y  0.497
2019 Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, ... ... Naud R, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/S41593-019-0520-2  0.745
2019 Soares C, Trotter D, Longtin A, Béïque JC, Naud R. Parsing Out the Variability of Transmission at Central Synapses Using Optical Quantal Analysis. Frontiers in Synaptic Neuroscience. 11: 22. PMID 31474847 DOI: 10.3389/Fnsyn.2019.00022  0.533
2019 Naud R, Longtin A. Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. Journal of Mathematical Neuroscience. 9: 8. PMID 31440910 DOI: 10.1186/S13408-019-0076-1  0.545
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  0.495
2019 Naud R, Longtin A. Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach. Journal of Mathematical Neuroscience. 9: 3. PMID 31147800 DOI: 10.1186/S13408-019-0071-6  0.563
2018 Naud R, Sprekeler H. Sparse bursts optimize information transmission in a multiplexed neural code. Proceedings of the National Academy of Sciences of the United States of America. PMID 29934400 DOI: 10.1073/pnas.1720995115  0.808
2017 Naud R, Payeur A, Longtin A. Noise Gated by Dendrosomatic Interactions Increases Information Transmission Physical Review X. 7. DOI: 10.1103/Physrevx.7.031045  0.489
2015 Naud R, Houtman DB, Rose GJ, Longtin A. Counting on dis-inhibition: a circuit motif for interval counting and selectivity in the anuran auditory system. Journal of Neurophysiology. jn.00138.2015. PMID 26334004 DOI: 10.1152/Jn.00138.2015  0.656
2015 Pozzorini C, Mensi S, Hagens O, Naud R, Koch C, Gerstner W. Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. Plos Computational Biology. 11: e1004275. PMID 26083597 DOI: 10.1371/journal.pcbi.1004275  0.795
2014 Deger M, Schwalger T, Naud R, Gerstner W. Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062704. PMID 25615126 DOI: 10.1103/Physreve.90.062704  0.797
2014 Naud R, Bathellier B, Gerstner W. Spike-timing prediction in cortical neurons with active dendrites. Frontiers in Computational Neuroscience. 8: 90. PMID 25165443 DOI: 10.3389/fncom.2014.00090  0.822
2014 Clarke SE, Naud R, Longtin A, Maler L. Neural coding strategies for extracting motion estimates from electrosensory contrast Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P185  0.579
2014 Naud R, Houtman D, Rose GJ, Longtin A. Modeling sound pulse counting in inferior colliculus Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P113  0.616
2014 Gerstner W, Kistler WM, Naud R, Paninski L. Neuronal dynamics: From single neurons to networks and models of cognition Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. 1-577. DOI: 10.1017/CBO9781107447615  0.741
2013 Clarke SE, Naud R, Longtin A, Maler L. Speed-invariant encoding of looming object distance requires power law spike rate adaptation. Proceedings of the National Academy of Sciences of the United States of America. 110: 13624-9. PMID 23898185 DOI: 10.1073/Pnas.1306428110  0.57
2013 Pozzorini C, Naud R, Mensi S, Gerstner W. Temporal whitening by power-law adaptation in neocortical neurons. Nature Neuroscience. 16: 942-8. PMID 23749146 DOI: 10.1038/nn.3431  0.748
2012 Naud R, Gerstner W. Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram. Plos Computational Biology. 8: e1002711. PMID 23055914 DOI: 10.1371/journal.pcbi.1002711  0.784
2012 Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W. Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of Neurophysiology. 107: 1756-75. PMID 22157113 DOI: 10.1152/Jn.00408.2011  0.785
2012 Naud R, Gerstner W. The performance (and limits) of simple neuron models: Generalizations of the leaky integrate-and-fire model Computational Systems Neurobiology. 163-192. DOI: 10.1007/978-94-007-3858-4_6  0.758
2011 Naud R, Gerhard F, Mensi S, Gerstner W. Improved similarity measures for small sets of spike trains. Neural Computation. 23: 3016-69. PMID 21919785 DOI: 10.3389/Conf.Fncom.2010.51.00102  0.791
2011 Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W. Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P119  0.78
2009 Gerstner W, Naud R. Neuroscience. How good are neuron models? Science (New York, N.Y.). 326: 379-80. PMID 19833951 DOI: 10.1126/science.1181936  0.778
2009 Naud R, Berger T, Bathellier B, Carandini M, Gerstner W. Quantitative Single-Neuron Modeling: Competition 2009 Frontiers in Neuroinformatics. 3. DOI: 10.3389/conf.neuro.11.2009.08.106  0.827
2009 Naud R, Bathellier B, Gerstner W. Spike-timing prediction in a neuron model with active dendrites Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P29  0.825
2008 Jolivet R, Schürmann F, Berger TK, Naud R, Gerstner W, Roth A. The quantitative single-neuron modeling competition. Biological Cybernetics. 99: 417-26. PMID 19011928 DOI: 10.1007/S00422-008-0261-X  0.832
2008 Naud R, Marcille N, Clopath C, Gerstner W. Firing patterns in the adaptive exponential integrate-and-fire model. Biological Cybernetics. 99: 335-47. PMID 19011922 DOI: 10.1007/S00422-008-0264-7  0.765
2008 Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W. A benchmark test for a quantitative assessment of simple neuron models. Journal of Neuroscience Methods. 169: 417-24. PMID 18160135 DOI: 10.1016/J.Jneumeth.2007.11.006  0.825
1970 Naud R, Gerstner W, Mensi S, Becker T. Complexity and performance in simple neuron models Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.087  0.761
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