Apply to next year’s Brains, Minds and Machines Summer Course
✓ cutting-edge lectures and research in Ai and neuroscience
✓ make new friends
300+
Students took the course
400+
Lectures
3:1
Student:TA ratio
45+
Publications
Faculty
Lectures by Jim DiCarlo, Robert Desimone, Winrich Freiwald, Leslie Kaelbing, Boris Katz, Christof Koch, Gabriel Kreiman, Margaret Livingstone, Alexander Madry, Josh McDermott, Phillip Nelson, Pietro Perona, Tomaso Poggio, Lorenzo Rosasco, Thomas Serre, Haim Sompolinsky, Stefanie Tellex, Josh Tenenbaum, Antonio Torralba, Matt Wilson, and many more.
Learning materials
Tutorials on machine learning, computer vision, large language models, neuroscience, psychophysics experiments, statistical learning theory, robotics, and more. Click here for more information.
Team building
The traditional boat-building competition takes students out of their comfort zone and into the wild waters of Woodshole.
Example publications started during BMM
Xiao et al 2019
Biologically-plausible learning algorithms can scale to large datasets.
Xiao W, Chen H, Liao Q, Poggio T. (2019). International Conference on Learning Representations (ICLR). PDF
Vinken et al 2020
Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception.
Vinken K, Boix X, Kreiman G (2020). Science Advances, 6: eabd4205. PDF
Casper et al 2021
Frivolous units: wider networks are not really that wide.
Casper S, Boix X, D’Amario V, Guo L, Schrimpf M, Vinken K, Kreiman G. (2021). AAAI Conference on Artificial Intelligence. PDF
Zhang et al 2022
Human or Machine? Turing Tests for Vision and Language.
Zhang M, Dellaferrera G, Sikarwar A, Armendariz M, Mudrik N, Agrawal P, Madan S, Barbu A, Yang H, Kumar T, Sadwani M, Dellaferrera S, Pizzochero M, Pfister H, Kreiman G (2022). arXiv, 2211.13087. PDF
Wang et al 2023
BrainBERT: Self-supervised representation learning for intracranial electrodes.
Wang C, Subramaniam V, Yaari A, Kreiman G, Katz B, Cases I, Barbu A. (2023). International Conference on Learning Representations (ICLR), PDF.
Bono et al 2024
Look Around! Unexpecetd gains from training on environments in the vicinity of the target.
Bono S, Madan S, Grover I, Yasueda M, Breazeal C, Pfister H, Kreiman G (2024). arXiv, 2401.15856. PDF
Funding
National Science Foundation Science and Technology Award to Center for Brains, Minds and Machines
Estes Foundation