Eric Shea-Brown

According to our database1, Eric Shea-Brown authored at least 33 papers between 2004 and 2019.

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Bibliography

2019
Dimensionality compression and expansion in Deep Neural Networks.
CoRR, 2019

2018
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.
Neural Computation, 2018

A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data.
Entropy, 2018

2017
Robust information propagation through noisy neural circuits.
PLoS Computational Biology, 2017

Linking structure and activity in nonlinear spiking networks.
PLoS Computational Biology, 2017

2016
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems.
PLoS Computational Biology, 2016

How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?
PLoS Computational Biology, 2016

High resolution neural connectivity from incomplete tracing data using nonnegative spline regression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Triplet correlations among similarly tuned cells impact population coding.
Front. Comput. Neurosci., 2015

2014
The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes.
PLoS Computational Biology, 2014

Structured chaos shapes spike-response noise entropy in balanced neural networks.
Front. Comput. Neurosci., 2014

When do microcircuits produce beyond-pairwise correlations?
Front. Comput. Neurosci., 2014

2013
Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks.
Neural Computation, 2013

Impact of Correlated Neural Activity on Decision-Making Performance.
Neural Computation, 2013

A generative spike train model with time-structured higher order correlations.
Front. Comput. Neurosci., 2013

2012
Impact of Network Structure and Cellular Response on Spike Time Correlations.
PLoS Computational Biology, 2012

2011
Shared Inputs, Entrainment, and Desynchrony in Elliptic Bursters: From Slow Passage to Discontinuous Circle Maps.
SIAM J. Applied Dynamical Systems, 2011

The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations.
PLoS Computational Biology, 2011

2010
Encoding and decoding amplitude-modulated cochlear implant stimuli - a point process analysis.
Journal of Computational Neuroscience, 2010

When are feedforward microcircuits well-modeled by maximum entropy methods?
CoRR, 2010

2009
Stimulus-Dependent Correlations and Population Codes.
Neural Computation, 2009

Reliability of Coupled Oscillators.
J. Nonlinear Science, 2009

Spike-time reliability of layered neural oscillator networks.
Journal of Computational Neuroscience, 2009

2008
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus.
Neural Computation, 2008

2007
Optimal deep brain stimulation of the subthalamic nucleus - a computational study.
Journal of Computational Neuroscience, 2007

2006
Periodic orbit.
Scholarpedia, 2006

Isochron.
Scholarpedia, 2006

Stability.
Scholarpedia, 2006

Winding Numbers and Average Frequencies in Phase Oscillator Networks.
J. Nonlinear Science, 2006

2005
Simple Neural Networks that Optimize Decisions.
I. J. Bifurcation and Chaos, 2005

Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior.
IEICE Transactions, 2005

2004
On the Phase Reduction and Response Dynamics of Neural Oscillator Populations.
Neural Computation, 2004

The Influence of Spike Rate and Stimulus Duration on Noradrenergic Neurons.
Journal of Computational Neuroscience, 2004


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