متابعة
Richard Naud
Richard Naud
Department of Cellular and Molecular Medicine, Department of Physics, University of Ottawa
بريد إلكتروني تم التحقق منه على uottawa.ca - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition‏
W Gerstner, WM Kistler, R Naud, L Paninski‏
Cambridge University Press, 2014‏
23702014
A deep learning framework for neuroscience‏
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...‏
Nature Neuroscience 22 (11), 1761-1770, 2019‏
9712019
Firing patterns in the adaptive exponential integrate-and-fire model‏
R Naud, N Marcille, C Clopath, W Gerstner‏
Biological cybernetics 99 (4), 335-347, 2008‏
4072008
How good are neuron models?‏
W Gerstner, R Naud‏
Science 326 (5951), 379, 2009‏
3352009
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits‏
A Payeur, J Guerguiev, F Zenke, BA Richards, R Naud‏
Nature Neuroscience, 1-10, 2021‏
2882021
Temporal whitening by power-law adaptation in neocortical neurons‏
C Pozzorini, R Naud, S Mensi, W Gerstner‏
Nature neuroscience 16 (7), 942-948, 2013‏
2192013
A benchmark test for a quantitative assessment of simple neuron models‏
R Jolivet, R Kobayashi, A Rauch, R Naud, S Shinomoto, W Gerstner‏
Journal of Neuroscience Methods 169 (2), 417-424, 2008‏
1892008
The quantitative single-neuron modeling competition‏
R Jolivet, F Schürmann, TK Berger, R Naud, W Gerstner, A Roth‏
Biological cybernetics 99 (4), 417-426, 2008‏
1642008
Sparse bursts optimize information transmission in a multiplexed neural code‏
R Naud, H Sprekeler‏
Proceedings of the National Academy of Sciences 115 (27), E6329-E6338, 2018‏
1352018
Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms‏
S Mensi, R Naud, C Pozzorini, M Avermann, CCH Petersen, W Gerstner‏
Journal of neurophysiology 107 (6), 1756-1775, 2012‏
1302012
Perirhinal input to neocortical layer 1 controls learning‏
G Doron, JN Shin, N Takahashi, M Drüke, C Bocklisch, S Skenderi, ...‏
Science 370 (6523), eaaz3136, 2020‏
1192020
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models‏
C Pozzorini, S Mensi, O Hagens, R Naud, C Koch, W Gerstner‏
PLOS Comput Biol 11 (6), e1004275, 2015‏
1022015
Visualizing a joint future of neuroscience and neuromorphic engineering‏
F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ...‏
Neuron 109 (4), 571-575, 2021‏
862021
Classes of dendritic information processing‏
A Payeur, JC Béïque, R Naud‏
Current Opinion in Neurobiology 58, 78-85, 2019‏
672019
Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram‏
R Naud, W Gerstner‏
PLOS Computational Biology 8 (10), e1002711, 2012‏
632012
Improved Similarity Measures for Small Sets of Spike Trains‏
R Naud, F Gerhard, S Mensi, W Gerstner‏
Neural Computation 23 (12), 3016-3069, 2011‏
502011
Fluctuations and information filtering in coupled populations of spiking neurons with adaptation‏
M Deger, T Schwalger, R Naud, W Gerstner‏
Physical Review E 90 (6), 062704, 2014‏
492014
Spike-timing prediction in cortical neurons with active dendrites‏
R Naud, B Bathellier, W Gerstner‏
Frontiers in Computational Neuroscience 8, 90, 2014‏
412014
Speed-invariant encoding of looming object distance requires power law spike rate adaptation‏
SE Clarke, R Naud, A Longtin, L Maler‏
Proceedings of the National Academy of Sciences 110 (33), 13624-13629, 2013‏
352013
From stochastic nonlinear integrate-and-fire to generalized linear models‏
S Mensi, R Naud, W Gerstner‏
Advances in Neural Information Processing Systems 24, 2011‏
342011
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20