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Chengcheng Huang
Chengcheng Huang
Verified email at pitt.edu - Homepage
Title
Cited by
Cited by
Year
Circuit Models of Low-Dimensional Shared Variability in Cortical Networks
C Huang, DA Ruff, R Pyle, R Rosenbaum, MR Cohen, B Doiron
Neuron 101 (2), 337-348. e4, 2019
1592019
Once upon a (slow) time in the land of recurrent neuronal networks…
C Huang, B Doiron
Current Opinion in Neurobiology 46, 31-38, 2017
372017
A neuronal network model for pitch selectivity and representation
C Huang, J Rinzel
Frontiers in computational neuroscience 10, 57, 2016
192016
Internally generated population activity in cortical networks hinders information transmission
C Huang, A Pouget, B Doiron
Science Advances 8 (22), eabg5244, 2022
172022
A general decoding strategy explains the relationship between behavior and correlated variability
AM Ni, C Huang, B Doiron, MR Cohen
eLife 11, e67258, 2022
132022
Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability
N Mosheiff, B Ermentrout, C Huang
PLOS Computational Biology 19 (1), e1010843, 2023
82023
A neuronal network model for context-dependence of pitch change perception
C Huang, B Englitz, S Shamma, J Rinzel
Frontiers in computational neuroscience 9, 101, 2015
72015
Modulation of the dynamical state in cortical network models
C Huang
Current Opinion in Neurobiology 70, 43-50, 2021
52021
Topological insights into the neural basis of flexible behavior
TC Rouse, AM Ni, C Huang, MR Cohen
Proceedings of the National Academy of Sciences 120 (24), e2219557120, 2023
32023
Subpopulation Codes Permit Information Modulation Across Cortical States
MP Getz, C Huang, B Doiron
bioRxiv, 2022.09. 28.509815, 2022
22022
Automated customization of large-scale spiking network models to neuronal population activity
S Wu, C Huang, AC Snyder, MA Smith, B Doiron, BM Yu
Nature Computational Science, 1-16, 2024
12024
State modulation in spatial networks with three interneuron subtypes
MM Edwards, J Rubin, C Huang
bioRxiv, 2024.08. 23.609417, 2024
2024
Neuromechanistic models for auditory perception
C Huang
New York University, 2015
2015
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