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Dmitry R Lyamzin

Showing results (1-10 of 9) with videos related to

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Frontiers in Computational Neuroscience|December 15, 2010
Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise CorrelationsDmitry R Lyamzin, Jakob H Macke, Nicholas A Lesica
Proceedings of the National Academy of Sciences of the United States of America|July 24, 2021
Probabilistic discrimination of relative stimulus features in miceDmitry R Lyamzin, Ryo Aoki, Mohammad Abdolrahmani, et al.
Cell Reports|July 14, 2021
Attention separates sensory and motor signals in the mouse visual cortexMohammad Abdolrahmani, Dmitry R Lyamzin, Ryo Aoki, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 16, 2014
The neural representation of interaural time differences in gerbils is transformed from midbrain to cortexLucile A C Belliveau, Dmitry R Lyamzin, Nicholas A Lesica
Network (Bristol, England)|May 15, 2012
Analysis and modelling of variability and covariability of population spike trains across multiple time scalesDmitry R Lyamzin, Jose A Garcia-Lazaro, Nicholas A Lesica
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 6, 2015
State-dependent population coding in primary auditory cortexMarius Pachitariu, Dmitry R Lyamzin, Maneesh Sahani, et al.
Plos Computational Biology|October 15, 2024
Regularizing hyperparameters of interacting neural signals in the mouse cortex reflect states of arousalDmitry R Lyamzin, Andrea Alamia, Mohammad Abdolrahmani, et al.
Nature Communications|January 12, 2023
Distributed context-dependent choice information in mouse posterior cortexJavier G Orlandi, Mohammad Abdolrahmani, Ryo Aoki, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 29, 2015
Nonlinear transfer of signal and noise correlations in cortical networksDmitry R Lyamzin, Samuel J Barnes, Roberta Donato, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|December 15, 2010
Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise CorrelationsDmitry R Lyamzin, Jakob H Macke, Nicholas A Lesica
Proceedings of the National Academy of Sciences of the United States of America|July 24, 2021
Probabilistic discrimination of relative stimulus features in miceDmitry R Lyamzin, Ryo Aoki, Mohammad Abdolrahmani, et al.
Cell Reports|July 14, 2021
Attention separates sensory and motor signals in the mouse visual cortexMohammad Abdolrahmani, Dmitry R Lyamzin, Ryo Aoki, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 16, 2014
The neural representation of interaural time differences in gerbils is transformed from midbrain to cortexLucile A C Belliveau, Dmitry R Lyamzin, Nicholas A Lesica
Network (Bristol, England)|May 15, 2012
Analysis and modelling of variability and covariability of population spike trains across multiple time scalesDmitry R Lyamzin, Jose A Garcia-Lazaro, Nicholas A Lesica
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 6, 2015
State-dependent population coding in primary auditory cortexMarius Pachitariu, Dmitry R Lyamzin, Maneesh Sahani, et al.
Plos Computational Biology|October 15, 2024
Regularizing hyperparameters of interacting neural signals in the mouse cortex reflect states of arousalDmitry R Lyamzin, Andrea Alamia, Mohammad Abdolrahmani, et al.
Nature Communications|January 12, 2023
Distributed context-dependent choice information in mouse posterior cortexJavier G Orlandi, Mohammad Abdolrahmani, Ryo Aoki, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 29, 2015
Nonlinear transfer of signal and noise correlations in cortical networksDmitry R Lyamzin, Samuel J Barnes, Roberta Donato, et al.
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