Tag: reinforcement learning
-
Congratulations to Jonah Brenner!
09/24/2024 Kempner Institute KURE fellow Jonah Brenner was selected as a Kempner Undergraduate Research Experience (KURE) fellow to pursue his research work in our lab. Read more
-
Harvard. The interneuron, July 2024
july 2, 2024 AI agents help worms find food by integrating with their nervous system Harvard’s The Interneuron highlights the work of Chenguang Li describing a hybrid between biological and artificial neural networks. Li and colleagues showed how to enhance behavior in the C. elegans worm by elegantly combining optogenetics, computer vision, and reinforcement learning.… Read more
-
AI agents help worms find food by integrating with their nervous systems
06/14/2024 Harvard University MCB News This news article describes the pioneering work of Chenguang Li using reinforcement learning to discover neural policies in the C. elegans worm by integrating biological and artificial neural networks. See Chenguang’s research here. Read more
-
Chenguang Li on connecting artificial and biological neural networks
06/14/2024 Discovering neural policies to drive behavior by integrating deep reinforcement learning agents with biological neural networks Chenguang Li’s work on created a hybrid between biological and artificial neural networks was publishedi n Nature Machine Intelligence. Read more
-
Computational control of a living brain
03/01/2024 Harvard Magazine In this article, Jonathan Shaw describes the innovative work of graduate student Chenguang Li using state-of-the-art Artificial Intelligence algorithms to exert control of a C. elegans worm’s brain. See Chenguang’s publication here. Read more