Our news
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Kranium Poster Session 2024
August 8, 2024 First generation of Kranium scholars present their work The Kempner Institute at Harvard sponsored the first group of undergraduate researchers through their Kranium program. Come and see their posters discussing their work. Alliyah Steele from the Kreiman lab presents her work on studying the representation of language in brains and machines.
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The next 200 milliseconds
08/08/2024 Prof. Kreiman gives a lecture on the dynamics of cognition at the Brains, Minds and Machines This lecture introduces a discussion of the complex recurrent and top-down signals that interact with sensory processes to interpret visual scenes, including contextual reasoning, eye movements and visual search, and pattern completion.
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Brains, Minds and Machines Summer Course 2024
08/05/2024 Summer + AI + Neuroscience We start a new edition of the Brains, Minds and Machines Summer Course in Woodshole, MA with an impressive cadre of 35 international scholars interested in the intersection of brain science, computer science, and cognitive science.
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KLAB goes camping
07/29/2024 — 08/02/2024 KLAB goes to Acadia National Park Camping, hiking, and cooking together in the most beautiful National Park in the east coast provides a break and an opportunity to discuss science, projects, and life in a natural and different environment.
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Congratulations to Bastien LeLan!
07/25/2024 Robust convolutional neural networks as models of primate vision Congratulations to Bastien LeLan on successfully defending his thesis!
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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.…
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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.
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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.
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Congratulations to Morgan Talbot!
06/14/2024 Morgan Talbot received the MIT IMES award. Morgan is combining machine learning algorithms, psychophysics and computer vision models to build intelligent systems to train MD students.