Richard Naud - Publications

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

23 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
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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: 10.1162/NECO_a_00208  1
2011 Mensi S, Naud R, Gersnter W. From stochastic nonlinear Integrate-and-Fire to Generalized Linear Models Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
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  1
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  1
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  1
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  1
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