no code implementations • 26 Jan 2024 • LiZhen Zhu, James Z. Wang, Wonseuk Lee, Brad Wyble
The historical spatial context of the agent provides a similarity signal for self-supervised contrastive learning.
no code implementations • 10 Feb 2022 • LiZhen Zhu, Brad Wyble, James Z. Wang
Children learn to build a visual representation of the world from unsupervised exploration and we hypothesize that a key part of this learning ability is the use of self-generated navigational information as a similarity label to drive a learning objective for self-supervised learning.
1 code implementation • NeurIPS Workshop SVRHM 2021 • Shekoofeh Hedayati, Roger Beaty, Brad Wyble
To answer this question, we need to explore the cognitive, computational and neural mechanisms underlying imagery and creativity.
no code implementations • 15 Dec 2020 • Tara van Viegen, Athena Akrami, Kate Bonnen, Eric DeWitt, Alexandre Hyafil, Helena Ledmyr, Grace W. Lindsay, Patrick Mineault, John D. Murray, Xaq Pitkow, Aina Puce, Madineh Sedigh-Sarvestani, Carsen Stringer, Titipat Achakulvisut, Elnaz Alikarami, Melvin Selim Atay, Eleanor Batty, Jeffrey C. Erlich, Byron V. Galbraith, Yueqi Guo, Ashley L. Juavinett, Matthew R. Krause, Songting Li, Marius Pachitariu, Elizabeth Straley, Davide Valeriani, Emma Vaughan, Maryam Vaziri-Pashkam, Michael L. Waskom, Gunnar Blohm, Konrad Kording, Paul Schrater, Brad Wyble, Sean Escola, Megan A. K. Peters
Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects.