Publications
- M. Edwards, J.E. Rubin and C. Huang (2024), State modulation in spatial networks with three interneuron subtypes. bioRxiv.
- S. Wu, C. Huang, A. Snyder, M.A. Smith, B. Doiron, and B. Yu (2024) Automated customization of large-scale spiking network models to neuronal population activity. Nature Computational Science (accepted).
- Y. Wang, D. Li, J. Widjaja, R. Guo, L. Cai, R. Yan, S. Ozsoy, G. Allocca, J. Fang, Y. Dong, G.C. Tseng, C. Huang, Y.H. Huang (2024) An Electroencephalogram Signature of Melanin-Concentrating Hormone Neuron Activities Predicts Cocaine Seeking. Biological Psychiatry, doi: 10.1016/j.biopsych.2024.04.009.
- T.C. Rouse, A.M. Ni, C. Huang and M.R. Cohen (2023) Topological insights into the neural basis of flexible behavior. PNAS, 120 (24) e2219557120.
- N. Mosheiff, B. Ermentrout, C. Huang (2023) Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability. PLoS Computational Biology, 19(1): e101084.
- M.P. Getz, C. Huang*, B. Doiron* (2022) Subpopulation Codes Permit Information Modulation Across Cortical States. bioRxiv.
- C. Huang, A. Pouget and B. Doiron (2022) Internally generated population activity in cortical networks hinders information transmission. Science Advances 8, eabg5244. code
- A.M. Ni, C. Huang, B. Doiron and M.R. Cohen (2022) A general decoding strategy explains the relationship between behavior and correlated variability. eLife 11:e67258. code
- T.C. Rouse, A.M. Ni, C. Huang and M.R. Cohen (2021) Topological insights into the neural basis of flexible behavior. bioRxiv.
- C. Huang (2021) Modulation of the dynamical state in cortical network models. Current Opinion in Neurobiology 70:43-50.
- C. Huang, D.A. Ruff, R. Pyle, R. Rosenbaum, M.R. Cohen and B. Doiron (2019) Circuit models of low dimensional shared variability in cortical networks. Neuron 101, 1-12. code
- C. Huang and B. Doiron (2017) Once upon a (slow) time in the land of recurrent neuronal networks . Curr Opin Neurobiol 46:31-38.
- C. Huang and J. Rinzel (2016) A Neuronal Network Model for Pitch Selectivity and Representation. Front Comput Neurosci 10:57. code
- C. Huang, B. Englitz, S. Shamma and J. Rinzel (2015). A neuronal network model for context-dependence of pitch change perception. Front Comput Neurosci. 9:101.