Thank you so much for sharing my latest work, which was just published on my birthday!
26.10.2025 06:23 β π 1 π 0 π¬ 0 π 0
Thank you for sharing my preprint! This work theoretically explores how neural correlations influence memory and nonlinear computations in RNNs, building on the excellent theoretical framework - the dynamical cavity method - introduced by David Clark!!
02.05.2025 08:18 β π 7 π 1 π¬ 0 π 0
Neuroscientist investigating neuronal bases of reward and learning. Associate Prof at Oxford University. www.laklab.org
forever a student
currently a post-doc @ sites.brown.edu/badrelab
curious about control of decision making, neural dynamics, multivariate stats
mcfreund.github.io
Math, Neuroscience, AI. PhD candidate at Mila and University of Montreal; also writes music and dreams of post-growth economies π§ πͺ΄π΅πΈ Website: https://computationalcognition.ca/author/
Theoretical neuroscientist
Research fellow @ Kempner Institute, Harvard
dclark.io
group leader @ HHMIJanelia, #neuroscience + AI π¬ #cellpose | diversity and open-science for better science | β | she/her | https://mouseland.github.io
Theoretical neuroscientist interested in brain-body interactions and evolution of adaptive behavior. Associate Professor at Scripps Research Institute in San Diego.
comp neuro, neural manifolds, neuroAI, physics of learning
assistant professor @ harvard (physics, center for brain science, kempner institute)
proj leader @ Flatiron Institute
https://sites.google.com/site/sueyeonchung/
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
Theoretical neuroscientist; currently a Harvard Junior Fellow. jzv.io
Neuroscientist. Professor at Harvard University.
Studies the neural mechanisms underlying decision-making and learning. Dopamine.
neuroscientist, psychiatrist, writer
optogenetics.org
karldeisseroth.org
https://www.amazon.com/Projections-Story-Emotions-Karl-Deisseroth/dp/1984853694
science. https://briandepasquale.github.io
Associate Professor of Applied and Computational Mathematics and Statistics and Biological Sciences at U Notre Dame. Theoretically a Neuroscientist.
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
Computational neuroscientist and computer science professor
Western Washington University
Applied mathematics PhD
Fan of Nature
https://glomerul.us
Associate Professor at Harvard & Kempner Institute. Applying computational frameworks & machine learning to decode multi-scale neural processes. Marathoner. Rescue dog mom. https://www.rajanlab.com/
Theoretical Neuroscientist, Columbia University
Picower Professor of Neuroscience @ MIT
Cognitive neuroscience, executive brain functions, consciousness, and bass guitar. You know, the good stuff.
ekmillerlab.mit.edu
Co-founder, Neuroblox
https://www.neuroblox.ai/
UCSD professor of neurobiology and neurosciences
