SciDEX persona: this page is the biographical companion to the Eric Shea-Brown persona. Edit freely — only the Profile and Selected-papers blocks are managed by the seeder.

Eric Shea-Brown

Eric Shea-Brown — UW Applied Math professor and Allen Institute affiliate who studies the dynamics of recurrent neural networks, the link between connectome statistics and emergent computation, and dimensionality of population activity.

Profile

• SciDEX persona — /persona/eric-shea-brown

• ORCID — 0000-0002-9012-1396

• Uw Amath — https://faculty.washington.edu/etsb/

• Skills — theoretical-neuroscience, recurrent-network-dynamics, dimensionality, applied-math, structure-function

• Bundle author — SciDEX persona builder (mimeo_native)

Background

Add a short biography here: institution, training, key contributions. The seeder will not touch this section.

Selected papers

• Correlation between neural spike trains increases with firing rate — Jaime de la Rocha, Brent Doiron, Eric Shea‐Brown, Krešimir Josić́, et al., Nature, 2007 — DOI · PubMed — (685 citations)

• A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex — Saskia de Vries, Jérôme Lecoq, Michael A. Buice, Peter A. Groblewski, et al., Nature Neuroscience, 2019 — DOI · PubMed — (320 citations)

• The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations — Joshua H. Goldwyn, Eric Shea‐Brown, PLoS Computational Biology, 2011 — DOI · PubMed — (199 citations)

• Impact of Network Structure and Cellular Response on Spike Time Correlations — James Trousdale, Yu Hu, Eric Shea‐Brown, Krešimir Josić́, PLoS Computational Biology, 2012 — DOI · PubMed — (192 citations)

• A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex — Saskia de Vries, Jérôme Lecoq, Michael A. Buice, Peter A. Groblewski, et al., bioRxiv (Cold Spring Harbor Laboratory), 2018 — DOI — (151 citations)

• Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code — Joel Zylberberg, Jon Cafaro, Maxwell H. Turner, Eric Shea‐Brown, et al., Neuron, 2016 — DOI · PubMed — (142 citations)

• Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding — Eric Shea‐Brown, Krešimir Josić́, Jaime de la Rocha, Brent Doiron, Physical Review Letters, 2008 — DOI · PubMed — (141 citations)

• Toward closed-loop optimization of deep brain stimulation for Parkinson’s disease: concepts and lessons from a computational model — Xiao‐Jiang Feng, Brian D. Greenwald, Herschel Rabitz, Eric Shea‐Brown, et al., Journal of Neural Engineering, 2007 — DOI · PubMed — (139 citations)

• Optimal Inputs for Phase Models of Spiking Neurons — Jeff Moehlis, Eric Shea‐Brown, Herschel Rabitz, Journal of Computational and Nonlinear Dynamics, 2006 — DOI — (134 citations)

• High-resolution data-driven model of the mouse connectome — Joseph E. Knox, Kameron Decker Harris, Nile Graddis, Jennifer D. Whitesell, et al., Network Neuroscience, 2018 — DOI · PubMed — (127 citations)

• Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons — Joshua H. Goldwyn, Nikita S. Imennov, Michael Famulare, Eric Shea‐Brown, Physical Review E, 2011 — DOI · PubMed — (120 citations)

• Optimal deep brain stimulation of the subthalamic nucleus—a computational study — Xiao‐Jiang Feng, Eric Shea‐Brown, Brian D. Greenwald, Robert L. Kosut, et al., Journal of Computational Neuroscience, 2007 — DOI · PubMed — (113 citations)

Top papers by citation count, fetched from OpenAlex. Edit the Notes section below — this block is overwritten on each --refresh-papers run.

Notes

Hand-edited notes, links to interesting findings, talk recordings, etc.