Eric Shea-Brown, Ph.D.

Applied Mathematics University of Washington, Seattle, Seattle, WA 
computational neuroscience
"Eric Shea-Brown"
Mean distance: 17.08 (cluster 17)
Cross-listing: MathTree


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Philip Holmes grad student 2004 Princeton
 (Neural oscillators and integrators in the dynamics of decision tasks)
John Rinzel grad student 2004-2007 NYU
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de Vries SEJ, Lecoq JA, Buice MA, et al. (2019) A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex. Nature Neuroscience
Recanatesi S, Ocker GK, Buice MA, et al. (2019) Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity. Plos Computational Biology. 15: e1006446
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
Brinkman BAW, Rieke F, Shea-Brown E, et al. (2018) Predicting how and when hidden neurons skew measured synaptic interactions. Plos Computational Biology. 14: e1006490
Choi H, Pasupathy A, Shea-Brown E. (2018) Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion. Neural Computation. 1-49
Fyall AM, El-Shamayleh Y, Choi H, et al. (2017) Dynamic representation of partially occluded objects in primate prefrontal and visual cortex. Elife. 6
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
Ocker GK, Josić K, Shea-Brown E, et al. (2017) Linking structure and activity in nonlinear spiking networks. Plos Computational Biology. 13: e1005583
Zylberberg J, Pouget A, Latham PE, et al. (2017) Robust information propagation through noisy neural circuits. Plos Computational Biology. 13: e1005497
Lajoie G, Lin KK, Thivierge JP, et al. (2016) Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems. Plos Computational Biology. 12: e1005258
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