Eric Shea-Brown, Ph.D.

Affiliations: 
Applied Mathematics University of Washington, Seattle, Seattle, WA 
Area:
computational neuroscience
Website:
http://faculty.washington.edu/etsb/eric.html
Google:
"Eric Shea-Brown"
Cross-listing: Neurotree

Parents

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Philip Holmes grad student 2004 Princeton (Neurotree)
 (Neural oscillators and integrators in the dynamics of decision tasks)
John Rinzel grad student 2004-2007 NYU (Neurotree)

Children

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Joshua H. Goldwyn grad student 2011 University of Washington (Neurotree)
Nicholas Cain grad student 2012 University of Washington (Neurotree)
Guillaume Lajoie grad student 2013 University of Washington (Neurotree)
Andrea K. Barreiro post-doc University of Washington
Hannah Choi post-doc (Neurotree)
Joel Zylberberg post-doc 2012-2015 University of Washington (Physics Tree)

Collaborators

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Fred Rieke collaborator University of Washington (Neurotree)
Jaime de la Rocha collaborator 2004-2008 Center for Neural Science, NYU (Neurotree)
BETA: Related publications

Publications

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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
Brinkman BA, Weber AI, Rieke F, et al. (2016) How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits? Plos Computational Biology. 12: e1005150
Zylberberg J, Cafaro J, Turner MH, et al. (2016) Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code. Neuron. 89: 369-83
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