Chengcheng Huang, Ph.D
Affiliations: | Neuroscience | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
Computational neuroscienceWebsite:
http://www.pitt.edu/~huangc/Google:
"Chengcheng Huang"Mean distance: (not calculated yet)
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Publications
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| Wu S, Huang C, Snyder A, et al. (2023) Automated customization of large-scale spiking network models to neuronal population activity. Biorxiv : the Preprint Server For Biology |
| Rouse TC, Ni AM, Huang C, et al. (2023) Topological insights into the neural basis of flexible behavior. Proceedings of the National Academy of Sciences of the United States of America. 120: e2219557120 |
| Mosheiff N, Ermentrout B, Huang C. (2023) Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability. Plos Computational Biology. 19: e1010843 |
| Ni AM, Huang C, Doiron B, et al. (2022) A general decoding strategy explains the relationship between behavior and correlated variability. Elife. 11 |
| Huang C, Pouget A, Doiron B. (2022) Internally generated population activity in cortical networks hinders information transmission. Science Advances. 8: eabg5244 |
| Huang C. (2021) Modulation of the dynamical state in cortical network models. Current Opinion in Neurobiology. 70: 43-50 |
| Wang XJ, Hu H, Huang C, et al. (2020) Computational neuroscience: a frontier of the 21 century. National Science Review. 7: 1418-1422 |
| Wang X, Hu H, Huang C, et al. (2020) Computational neuroscience: a frontier of the 21st century National Science Review. 7: 1418-1422 |
| Huang C, Ruff DA, Pyle R, et al. (2018) Circuit Models of Low-Dimensional Shared Variability in Cortical Networks. Neuron |
| Huang C, Doiron B. (2017) Once upon a (slow) time in the land of recurrent neuronal networks…. Current Opinion in Neurobiology. 46: 31-38 |