Eric Shea-Brown

1977 -

Educated at: Princeton University

Occupation: forskare

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Articles 58

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Title

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2006-12-01

Towards blueprints for network architecture, biophysical dynamics and signal transduction

Stephen Coombes, Brent Doiron, Eric Shea-Brown
2007-05-05

Optimal deep brain stimulation of the subthalamic nucleus--a computational study

Herschel A Rabitz, Eric Shea-Brown
2007-08-01

Correlation between neural spike trains increases with firing rate

Jaime de la Rocha, Brent Doiron, Eric Shea-Brown
2007-02-22

Toward closed-loop optimization of deep brain stimulation for Parkinson's disease: concepts and lessons from a computational model

Eric Shea-Brown
2008-12-01

Optimization of decision making in multilayer networks: the role of locus coeruleus

Eric Shea-Brown
2008-03-11

Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding.

Jaime de la Rocha, Brent Doiron, Eric Shea-Brown
2009-10-01

Stimulus-dependent correlations and population codes

Jaime de la Rocha, Brent Doiron, Eric Shea-Brown
2010-02-23

Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis

Joshua H Goldwyn, Jay T. Rubinstein, Eric Shea-Brown
2010-07-20

The effect of “robust” integrator dynamics on decision-making performance

Eric Shea-Brown
2010-07-20

Adaptation in electric hearing: analysis of level and amplitude modulation encoding

Joshua H Goldwyn, Eric Shea-Brown
2010-01-27

Time scales of spike-train correlation for neural oscillators with common drive

Eric Shea-Brown
2011-11-17

The what and where of adding channel noise to the Hodgkin-Huxley equations

Joshua H Goldwyn, Eric Shea-Brown
2011-04-11

Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons

Joshua H Goldwyn, Michael Famulare, Eric Shea-Brown
2012-06-06

A point process framework for modeling electrical stimulation of the auditory nerve

Joshua H Goldwyn, Jay T. Rubinstein, Eric Shea-Brown
2012-03-22

Impact of network structure and cellular response on spike time correlations

Eric Shea-Brown
2012-06-06

A-current and type I/type II transition determine collective spiking from common input

Eric Shea-Brown
2012-05-15

Computational models of decision making: integration, stability, and noise

Eric Shea-Brown
2012-07-16

A simple mechanism for higher-order correlations in integrate-and-fire neurons

Eric Shea-Brown
2012-07-16

Motif statistics and spike correlations in neuronal networks

Eric Shea-Brown
2012-07-16

Speed and accuracy in decision making: input correlations and performance

Eric Shea-Brown
2012-11-13

Impact of correlated neural activity on decision-making performance,Impact of Correlated Neural Activity on Decision-Making Performance

Eric Shea-Brown
2013-02-27

Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity

Michael Shadlen, Eric Shea-Brown
2013-07-17

A generative spike train model with time-structured higher order correlations

Eric Shea-Brown
2013-05-06

Chaos and reliability in balanced spiking networks with temporal drive

Guillaume Lajoie, Eric Shea-Brown
2013-04-22

Neutral stability, rate propagation, and critical branching in feedforward networks

N. Alex Cayco-Gajic, Eric Shea-Brown
2013-07-08

Consistency requirements determine optimal noise correlations in neural populations

Eric Shea-Brown
2014-02-27

The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes

Eric Shea-Brown
2014-02-06

When do microcircuits produce beyond-pairwise correlations?

Julijana Gjorgjieva, Eric Shea-Brown
2014-10-02

Structured chaos shapes spike-response noise entropy in balanced neural networks

Guillaume Lajoie, Eric Shea-Brown
2014-07-21

Structured chaos shapes joint spike-response noise entropy in temporally driven balanced networks.

Guillaume Lajoie, Eric Shea-Brown
2014-07-21

Noise- and stimulus-dependence of the optimal encoding nonlinearities in a simple ON/OFF retinal circuit model

Braden A W Brinkman, Eric Shea-Brown
2014-07-21

When does recurrent connectivity improve neural population coding?

Eric Shea-Brown

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Eric Shea-Brown

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