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

Nicholas Cain , Eric Shea-Brown
Current Opinion in Neurobiology 22 ( 6) 1047 -1053

18
2012
Information theoretic approaches to understanding circuit function.

Adrienne Fairhall , Eric Shea-Brown , Andrea Barreiro
Current Opinion in Neurobiology 22 ( 4) 653 -659

33
2012
Transformation of population code from dLGN to V1 facilitates linear decoding

N. Alex Cayco Gajic , Séverine Durand , Michael Buice , Ramakrishnan Iyer
bioRxiv 826750

2019
Dynamic representation of partially occluded objects in primate prefrontal and visual cortex.

Amber M Fyall , Yasmine El-Shamayleh , Hannah Choi , Eric Shea-Brown
eLife 6

22
2017
Toward closed-loop optimization of deep brain stimulation for Parkinson's disease: Concepts and lessons from a computational model

Xiao-jiang Feng , Brian Greenwald , Herschel Rabitz , Eric Shea-Brown
Journal of Neural Engineering 4 ( 2)

153
2007
Feedback through graph motifs relates structure and function in complex networks

Yu Hu , Steven L. Brunton , Nicholas Cain , Stefan Mihalas
Physical Review E 98 ( 6) 062312

25
2018
Spike-time reliability of layered neural oscillator networks

Kevin K. Lin , Eric Shea-Brown , Lai-Sang Young
Journal of Computational Neuroscience 27 ( 1) 135 -160

12
2009
Optimal deep brain stimulation of the subthalamic nucleus—a computational study

Xiao-Jiang Feng , Eric Shea-Brown , Brian Greenwald , Robert Kosut
Journal of Computational Neuroscience 23 ( 3) 265 -282

99
2007
Encoding and decoding amplitude-modulated cochlear implant stimuli—a point process analysis

Joshua H. Goldwyn , Eric Shea-Brown , Jay T. Rubinstein
Journal of Computational Neuroscience 28 ( 3) 405 -424

25
2010
Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code

Joel Zylberberg , Jon Cafaro , Maxwell H. Turner , Eric Shea-Brown
Neuron 89 ( 2) 369 -383

124
2016
A simple mechanism for higher-order correlations in integrate-and-fire neurons.

David A Leen , Eric Shea-Brown
BMC Neuroscience 13 ( 1) 45

1
2012
Speed and accuracy in decision making: input correlations and performance

Nicholas Cain , Eric Shea-Brown
BMC Neuroscience 13 ( 1) 44

2012
Consistency requirements determine optimal noise correlations in neural populations

Joel Zylberberg , Maxwell Turner , Yu Hu , Jon Cafaro
BMC Neuroscience 14 ( 1) 1 -2

9
2013
Adaptation in electric hearing: analysis of level and amplitude modulation encoding

Joshua H Goldwyn , Eric Shea-Brown
BMC Neuroscience 11 ( 1) 166

2
2010
The effect of “robust” integrator dynamics on decision-making performance

Nicholas Cain , Andrea Barreiro , Mike Shadlen , Eric Shea-Brown
BMC Neuroscience 11 ( 1) 97

2010
Single circuit in V1 capable of switching contexts during movement using VIP population as a switch

Doris Voina , Stefano Recanatesi , Brian Hu , Eric Shea-Brown
bioRxiv

2020
Optimal Inputs for Phase Models of Spiking Neurons

Jeff Moehlis , Eric Shea-Brown , Herschel Rabitz
Journal of Computational and Nonlinear Dynamics 1 ( 4) 358 -367

111
2006
A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons

David A. Leen , Eric Shea-Brown
The Journal of Mathematical Neuroscience 5 ( 1) 17

15
2015
Shared Inputs, Entrainment, and Desynchrony in Elliptic Bursters: From Slow Passage to Discontinuous Circle Maps ∗

Guillaume Lajoie , Eric Shea-Brown
Siam Journal on Applied Dynamical Systems 10 ( 4) 1232 -1271

8
2011
The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes

Yu Hu , Joel Zylberberg , Eric Shea-Brown
PLoS Computational Biology 10 ( 2) e1003469

58
2014