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Neural Computation
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June 1, 2014
How to compress sequential memory patterns into periodic oscillations: general reduction rules
Kechen Zhang
Frontiers in Computational Neuroscience
|
February 11, 2020
Equilibrium States and Their Stability in the Head-Direction Ring Network
Caixia Wang, Kechen Zhang
Journal of Mathematical Neuroscience
|
May 17, 2018
Analysis of an Attractor Neural Network's Response to Conflicting External Inputs
Kathryn Hedrick, Kechen Zhang
Neural Computation
|
November 30, 2007
How optimal stimuli for sensory neurons are constrained by network architecture
Christopher DiMattina, Kechen Zhang
Frontiers in Neural Circuits
|
June 14, 2013
Adaptive stimulus optimization for sensory systems neuroscience
Christopher DiMattina, Kechen Zhang
Entropy (Basel, Switzerland)
|
December 3, 2020
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Wentao Huang, Kechen Zhang
Neural Computation
|
June 16, 2011
Active data collection for efficient estimation and comparison of nonlinear neural models
Christopher DiMattina, Kechen Zhang
Neural Computation
|
October 22, 2009
How to modify a neural network gradually without changing its input-output functionality
Christopher DiMattina, Kechen Zhang
Neural Computation
|
January 18, 2018
Information-Theoretic Bounds and Approximations in Neural Population Coding
Wentao Huang, Kechen Zhang
Proceedings of the National Academy of Sciences of the United States of America
|
April 12, 2012
Universal conditions for exact path integration in neural systems
John B Issa, Kechen Zhang
Page
of 3
Search research articles
Search
Showing results (1-10 of 30) with videos related to
Sort By:
Page
of 3
Neural Computation
|
June 1, 2014
How to compress sequential memory patterns into periodic oscillations: general reduction rules
Kechen Zhang
Frontiers in Computational Neuroscience
|
February 11, 2020
Equilibrium States and Their Stability in the Head-Direction Ring Network
Caixia Wang, Kechen Zhang
Journal of Mathematical Neuroscience
|
May 17, 2018
Analysis of an Attractor Neural Network's Response to Conflicting External Inputs
Kathryn Hedrick, Kechen Zhang
Neural Computation
|
November 30, 2007
How optimal stimuli for sensory neurons are constrained by network architecture
Christopher DiMattina, Kechen Zhang
Frontiers in Neural Circuits
|
June 14, 2013
Adaptive stimulus optimization for sensory systems neuroscience
Christopher DiMattina, Kechen Zhang
Entropy (Basel, Switzerland)
|
December 3, 2020
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Wentao Huang, Kechen Zhang
Neural Computation
|
June 16, 2011
Active data collection for efficient estimation and comparison of nonlinear neural models
Christopher DiMattina, Kechen Zhang
Neural Computation
|
October 22, 2009
How to modify a neural network gradually without changing its input-output functionality
Christopher DiMattina, Kechen Zhang
Neural Computation
|
January 18, 2018
Information-Theoretic Bounds and Approximations in Neural Population Coding
Wentao Huang, Kechen Zhang
Proceedings of the National Academy of Sciences of the United States of America
|
April 12, 2012
Universal conditions for exact path integration in neural systems
John B Issa, Kechen Zhang
Page
of 3