‪Chenguang Li‬ - ‪Google Scholar‬

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Citations	25	22
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Chenguang Li

Chenguang Li

Graduate student, Harvard University

Verified email at fas.harvard.edu

neuroscience deep reinforcement learning machine learning


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NMDA receptors enhance the fidelity of synaptic integration C Li, AT Gulledge Eneuro 8 (2), 2021	12	2021
Functional network stability and average minimal distance–A framework to rapidly assess dynamics of functional network representations J Wu, QM Skilling, D Maruyama, C Li, N Ognjanovski, S Aton, ... Journal of neuroscience methods 296, 69-83, 2018	12	2018
Integrating artificial and biological neural networks to improve animal task performance using deep reinforcement learning C Li, G Kreiman, S Ramanathan bioRxiv, 2022.09. 19.508590, 2022	1	2022
Neuron-level prediction and noise can implement flexible reward-seeking behavior C Li, JW Brenner, A Boesky, S Ramanathan, G Kreiman bioRxiv, 2024.05. 22.595306, 2024		2024
What Matters In Branch Specialization? Using a Toy Task to Make Predictions C Li, A Deza SVRHM 2021 Workshop@ NeurIPS, 2021		2021

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