
Daniel Yamins
@dyamins
@StanfordAIlab @neuroailab @stanfordbrain
ID: 36066851
http://neuroailab.stanford.edu 28-04-2009 13:42:04
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4,4K Followers
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MIT Mentor: Nancy Kanwisher @[email protected] (center) has guided more than 70 PhD students + postdocs during her career, including Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 (left), Josh McDermott (center) + @Rebecca_Saxe (right), who are now her colleagues at the McGovern Institute. Learn more: indd.adobe.com/view/dce9d2fc-…


Come to our CCN workshop! Blending iophysical constraints and neural networks. Topographical ANNs + and much more. Meenakshi Khosla talia konkle pouya bashivan Nick Blauch Tim Kietzmann Laura Gwilliams Apurva Ratan Murty Jakob Macke Pieter Roelfsema Martin Schrimpf Andrew Miri Nabil Imam


Glad to see that my first publication w Daniel Yamins was continued by Aran Nayebi ! AI has so much potential to contribute to other fields of science, particularly neuroscience, considering how much is unknown and the fascinating parallels—and differences—between AI and the brain.


1/ I'm excited to share recent results from my first collaboration with the amazing Aran Nayebi and Leo Kozachkov! We show how autonomous behavior and whole-brain dynamics emerge in embodied agents with intrinsic motivation driven by world models.


Now out in Nature Human Behaviour Nature Human Behaviour: “End-to-end topographic networks as models of cortical map formation and human visual behaviour”. Please check our NHB link: nature.com/articles/s4156…

What is the probability of an image? What do the highest and lowest probability images look like? Do natural images lie on a low-dimensional manifold? In a new preprint with Zahra Kadkhodaie Eero Simoncelli, we develop a novel energy-based model in order to answer these questions: đź§µ



