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MITCBMM

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Intelligence as Prediction: Cybernetics, LLMs, and Sociality

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Vision beyond ImageNet: Understanding the brain mechanisms underlying visual recognition

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fMRI Scanning at MIT - For Kids

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A Theory of Appropriateness with Applications to Generative Artificial Intelligence

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Aligning deep networks with human vision will require novel neural architectures, data diets and ...

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The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

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The success of CBMM and the people who made it possible

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Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the...

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Panel Discussion: Open Questions in Theory of Learning

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Normalization models of attention

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Identifying Subgroups in Biomedical Datasets using Data Attribution

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Learning to Reason, Insights from Language Modeling

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Tomaso Poggio autobiography, produced by NotebookLM

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Conveying Tasks to Computers: How Machine Learning Can Help

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Leveraging the Allen Brain Observatories

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