Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学
Information Sciences and English, UIUC. Distant Horizons (Chicago, 2019). tedunderwood.com
Psychiatrist and PhD student @Kyoto University / Theoretical neuroscience / Statistical Physics / Deep learning theory
https://shtakasu.github.io/
Postdoc in Computational Neuroscience | CRM Barcelona
Mostly interested in the mechanisms underlying learning, forgetting, memory formation, and most recently also creativity. And "representational drift".
Theoretical neuroscience, machine learning and spin glasses.
Assistant professor at Donders Institute, Nijmegen, The Netherlands.
Website: https://aleingrosso.github.io/
PhD student in computational neuroscience @ UCL
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Master's student of Computational Neuroscience @ BCCN Berlin
I'm a PhD student at MIT CSAIL.
More about me: https://cs.stanford.edu/~kach
PhD @Stanford studying cognitive science & AI
Prev: Pre-doc Fellow @Harvard, Econ & CS research with Paul Romer, Stats & ML @UniofOxford, Econ @Columbia
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
head, Comp Systems Neurosci Lab @wigner centre. neuro + ML
Incoming Postdoc at UChicago in Bakkour lab. PhD from WUSTL. Interested in how we build models of the world, naturalistic neuroimaging, and reinforcement learning.
Prof. of Computational Cognitive Science at TU Darmstadt & PI of the Human and Machine Cognition lab at the University of Tübingen | hmc-lab.com
Editor and CEO, Zeteo
Author, ‘Win Every Argument’
British-American
Computational models of episodic memory
Postdoc with Daphna Shohamy & Stefano Fusi @ Columbia
PhD with Ken Norman & Uri Hasson @ Princeton
https://qihongl.github.io/
searching for principles, goal-driven behavior, empirical approach, integration | doing comp neuroscience & psychiatry | PI @cmc-lab.bsky.social | previously @maxplanckcampus.bsky.social (Peter Dayan & Nikos Logothetis)
Computational Machinery of Cognition (CMC) lab focuses on understanding the computational and neural machinery of goal-driven behavior | PI: @neuroprinciplist.bsky.social | https://shervinsafavi.github.io/cmclab/
