Brent Doiron

Affiliations: 
Mathematics University of Pittsburgh, Pittsburgh, PA, United States 
Area:
mathematical neuroscience, sensory systems
Website:
http://www.math.pitt.edu/~bdoiron
Google:
"Brent Doiron"
Mean distance: 13.18 (cluster 6)
 
SNBCP
Cross-listing: MathTree

Children

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Jim Cui grad student Chicago
Matthew Getz grad student
Gengshuo Tian grad student
Xinruo Yang grad student
Peijia Yu grad student
Shenghao Wu grad student 2018-
Chengcheng Huang post-doc
Cheng Ly post-doc University of Pittsburgh
Wenhao Zhang post-doc
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Publications

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Ni AM, Huang C, Doiron B, et al. (2022) A general decoding strategy explains the relationship between behavior and correlated variability. Elife. 11
Huang C, Pouget A, Doiron B. (2022) Internally generated population activity in cortical networks hinders information transmission. Science Advances. 8: eabg5244
Aponte DA, Handy G, Kline AM, et al. (2021) Recurrent network dynamics shape direction selectivity in primary auditory cortex. Nature Communications. 12: 314
Richards BA, Doiron B. (2020) Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits Elife
Linaro D, Ocker GK, Doiron B, et al. (2019) Correlation transfer by layer 5 cortical neurons under recreated synaptic inputs . The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Williamson RC, Doiron B, Smith MA, et al. (2019) Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction. Current Opinion in Neurobiology. 55: 40-47
Kass RE, Amari SI, Arai K, et al. (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214
Huang C, Ruff DA, Pyle R, et al. (2018) Circuit Models of Low-Dimensional Shared Variability in Cortical Networks. Neuron
Ocker GK, Doiron B. (2018) Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity. Cerebral Cortex (New York, N.Y. : 1991)
Ocker GK, Hu Y, Buice MA, et al. (2017) From the statistics of connectivity to the statistics of spike times in neuronal networks. Current Opinion in Neurobiology. 46: 109-119
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