Tag: artificial intelligence
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Congratulations to Morgan Talbot
feb 13, 2026 Emulating and Enhancing Human Visual Perception Learning with Image Cmputable Models Congratulations to Morgan Talbot on successfully defending his Ph.D. thesis! Read more
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Congratulations to Ernesto Bocini!
sep 7, 2025 Beyond anecdotal evidence: A systematic framework for evaluating neuron interpretability Congratulations to Ernesto Bocini for successfully defending his M.Sc. thesis! Read more
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Understanding and fixing brains by combining Neuroscience, Cognitive Science, andArtificial Intelligence
6/16/2025 Professor Kreiman lectures about how neuroscience and AI can help tackle mental disease Professor Kreiman gave a lecture at the University of Texas Southwestern Medical Center. The lecture focused on advances in invasive neurophysiology and how it can help tackle mental health problems. Read more
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Learning Fast and Slow
May 23, 2025 Neurons in the human brain encode rapidly learned visual information to reshape perception Prof. Kreiman gave a lecture at the Harvard Center for Brain Science during the annual retreat comparing the speed of learning in AI and humans. The lecture introduced the work of postdoc Marcelo Armendariz investigating the neuronal mechanisms underlying Read more
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The indoor training effect
feb 17, 2025 Scientists thought this would make AI worse but it made it smarter Note by Adam Zewe, MIT, about the work by Serena Bono and Spandan Madan in AAAI 2025 (see PDF here). SciTechDaily See more related work from the lab: Read more
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Brains Minds and Machines Summer Course 2025
August 3, 2025 — august 24, 2025 Apply now to join the BMM Summer School The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the scientific understanding of intelligence and the development of true biologically inspired AI. Read more
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Using computational models to improve visual learning
jan 30, 2025 Morgan Talbot presenting at Vision Journal Club Morgan will be presenting the paper “L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection and Enhancement.” For a concise summary, please see the project website. The paper explores ways to enhance visual category learning in humans by applying adversarially trained ANNs as models of Read more
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Generalization in models of vision
Jan 8, 2025 Evaluating how brains generalize: data from macaque monkeys reveals flaws in deep neural networks Anne Manning, Harvard John A. Paulson School of Engineering and Applied Sciences, reports on the work of Spandan Madan, Will Xiao and colleagues presented recently in NeurIPS. This work sheds light on the key Achilles heel of current Read more
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Kreiman lab presentations at NeurIPS 2024
dec 10-15, 2024 Neural Information Processing Systems 2024 Several members of the Kreiman lab presented their cutting-edge research at NeurIPS 2024. Read more