Formation et recherche 🔍🎓sur les fonctions mentales 🧠
Le Département d'Études Cognitives (DEC) est un département transdisciplinaire de l'École normale supérieure | PSL @normalesup.bsky.social
Postdoc in cognitive neuroscience on sequential learning and decision making (Aix Marseille University & ENS Paris). Previously, PhD with G. Dehaene-Lambertz on sequence learning in infants and adults. M/EEG, behaviour and modelling.
Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
theoretical neuroscience phd student at columbia
PhD student with Wim de Neys & Lucie Charles at LaPsyDE; MSc in Cog Sciences at ENS - interested in reasoning & metacognition
https://jeremie-beucler.github.io/
postdoctoral researcher at UNICOG, NeuroSpin neuroimaging and visual neuroscience https://nicogravel.github.io/
Postdoc in the Oxford Centre for Nonlinear PDE @oxfordmathematics.bsky.social
theoretical neuroscience & interacting particle systems
https://sites.google.com/view/valentinschmutz
neuroscientist {calcium imager, principal component analyzer} @ UCL
CompNeuro Phd-to-be
Dynamical systems, perturbations, development, cortical representations.
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Prof of complex systems @ university of Sussex
Physicist by training, working in computational neuroscience at the @dzne.science. Interested in how neural dynamics and learning shape brain function and behavior, using modeling and data analysis.
🌍fabriziomusacchio.com
🐘mastodon.social/@FabMusacchio
PhD student, Princeton Neuroscience Institute
Current interests: social behavior, recurrent neural networks, computational ethology
PhD candidate Vogels Group @ ISTA
Neurasmus: EMJMD Alumnus 🧠
Mathematical Neuroscientist. Biologically Inclined
Postdoc Researcher @ Destexhe Lab, CNRS, Paris-Saclay
Exploring brains and minds, in humans and machines.
consciousness . synthetic systems . emergence . computation . information . autonomy . causality
PhD Student @tuwien.at
Former Research Engineer @csh.ac.at
Into AI, ALife, Biology, AI4Science , and more
T1D
PhD student at Imperial College London, currently visiting researcher at ENS Paris. theoretical neuroscience, machine learning. aproca.github.io
Compte officiel de l'École normale supérieure | PSL - Membre de
l'Université PSL
PhD Student in NeuroAI.
Researcher part time, beer full time.
Created by @columbiauniversity.bsky.social to be the world's foremost neuroscience institute, we are deciphering the brain — how it develops, works, endures and recovers.
How brain neural nets do computations; we aim to understand differences in brain wiring, using lasers and neuro-AI.
Lab head, NIH. Prev: media policy for democracypolicy.network. All views are my own.
linktr.ee/markhisted
neuro: 🧠 /🧪
Space, Sleep, and Spikes | Associate Prof @ McGill, Montreal Neurological Institute | Co-director, The Quebec Sleep Research Network
Postdoc in computational neuroscience at University College London. Previously at Imperial College London & École Normale Supérieure.
🧠 Interested in mechanisms of memory formation 🧠
Computational Cognitive Neuroscientist at INS Marseille. I'm interested in speech, information theory and network modelling.
PhD in statistical physics of neural networks @ENS, Paris
https://scastedo.github.io/
Postdoctoral researcher at ILCB (Aix-Marseille Université). Computational and neural mechanisms of human learning.
CompNeuro M.Sc @ École Normale Supérieure - Paris
sepsad.github.io
Research Fellow, Sensorimotor & Computational Neuroscience Donders Institute, Netherlands | Studying how brain produces movements
Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana
Ph.D. Student Mila / McGill. Machine learning and Neuroscience, Memory and Hippocampus
Assistant Professor, Shanghai Jiao Tong University| Theoretical and Computaitonal Neuroscience, NeuroAI, Physics of Life.
Postdoc in Computational Neuroscience | CRM Barcelona
Mostly interested in the mechanisms underlying learning, forgetting, memory formation, and most recently also creativity. And "representational drift".
Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter
UCSD professor of neurobiology and neurosciences
Neuroscientist. Professor at Harvard University.
Studies the neural mechanisms underlying decision-making and learning. Dopamine.
Neuroscientist studying how the brain makes decisions, solves problems, and navigates complex reasoning. Curious about the mysteries of the mind and always ready to connect over science, ideas, and discovery.
Neuroscientist at U Chicago
Associate Prof at UW. Neural interfaces, motor learning, engineering learning.
Believe it or not, my last name has two R's and zero E's.
She/her
Assistant Prof. Princeton Neuroscience Institute. Neural dynamics, hormones, behavioral quantification. Understanding the world, one fighting mouse at a time.
www.falknerlab.com
Mood & Memory researcher with a computational bent. https://www.nicolecrust.com. Science advocate. Prof (UPenn Psych) - on leave as a Simons Pivot Fellow. Author: Elusive Cures. https://press.princeton.edu/books/hardcover/9780691243054/elusive-cures
Associate Professor @Emory/GA Tech BME
Research Scientist @Meta Reality Labs
http://snel.ai
Assistant Professor of Physics & Neuroscience at Princeton University. Studying how C. elegans nervous system processes information to generate actions.
Neuroscientist @Janelia, HHMI
www.ahrenslab.org
Neuroscientist at University College London (www.ucl.ac.uk/cortexlab). Opinions my own.
Computational neuroscientist @princetonneuro.bsky.social deciphering natural and advancing artificial intelligence.
Neuroscientist studying neural circuits underlying perception and behaviour. Professor at the Sainsbury's Wellcome Centre, London
Neuroscientist. Long-form opinions at https://markusmeister.com.
Computational neuroscientist interested in cognition, computation, memory, decision making. Studying the human brain.
Computational neuroscientist, Assistant Professor at @sinaibrain.bsky.social, Mount Sinai. Views are my own. New York, NY. He/him. schafferlab.com
Neuroscientist @ CNRS & Aix-Marseille University, France | SCGB TTI fellow | ERC StG 2024 | fannycazettes.com
Neuroscientist at the Allen Institute for Neural Dynamics | UW NBio | prev: Champaliamud & UCSD
Neuroscientist and painter | group leader at SIDB, University of Edinburgh | SCGB BTI Fellow | Prediction and Plasticity lab
Neuroscientist. Assistant Professor at Scripps Research.
https://www.ran-lab.org
comp neuro assistant prof at columbia
Postdoc at NYU | Previously grad student at UCSD
Studying how the brain constructs representations that adapt to changing behavior goals
neuro and AI (they/she)
Allen Institute for Neural Dynamics, theory lead | UW affiliate asst prof
Lecturer at @GatsbyUCL
palmigianolab.com
Research lab @University of Toronto. Our mission is to develop a computational understanding of intelligence in brains and machines. Lab director @DrLaschowski #compneuro
neuroscientist in tübingen @siegellab. decision making, analysis methods, electrophysiology across scales. floriansandhaeger.github.io.
Neuroscientist in Tübingen & mother of dragons. Interested in visual perception, decision-making & expectations.
Follow me! One day I’ll have an epiphany and solve the hard problem of consciousness. My revelation will come as I watch my 3 kids grow up, nourished by the food and joy my salary provides. Current job: postdoc @siegellab 🔬🧑💻 Working Memory.
PhD student @ Siegel lab, Uni Tübingen
neuro researcher @uni-tübingen x @siegellab
Lab account of the Siegel Lab (managed by lab members), department of neural dynamics and magnetoencephalography @hih-tuebingen.bsky.social, CIN, UKT & @unituebingen.bsky.social. PI: markussiegel.net, lab members: https://go.bsky.app/Lyatq2g
https://unireps.org
Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
Adaptation in Visual Neuroscience ~ PhD candidate in computational retina stuff at @InstVisionParis and @sorbonne-universite.fr.
Scientist
https://www.armcintosh.com/
https://www.sfu.ca/neuro-institute.html
Research fellow in Cognitive Psychology at the Laboratory of Applied Psychology and Ergonomics (LaPEA, @univeiffel.bsky.social)
Neurobiologist, serial immigrant, scientist, teacher, espresso addict, bookworm, glomeruli enthusiast. She/Her/Dr. Portrait by a former student.
Cambridge, UK
https://gallianolab.org/
Professor at NYU; Scientific Director at Ctr for Computational Neurocience, Flatiron Institute. Research in Computational Vision (neurons, perception, machines). Opinions my own.
The CIAN mobilizes research to address health, education, industry, and other applications important for the global community.
PhD student in Cognitive Sciences with Maël Lebreton - Paris School of Economics & École Normale Supérieure
💭 Looking at #decisionmaking #reinforcementlearning #confirmationbias #metacognition
We’re the Plasticity Lab at Cambridge University, led by Tamar Makin. We study the neural basis of hand function and dysfunction, exploring how technology can enhance movement functionality for able and disabled individuals of all ages: plasticity-lab.com
Senior Director of AI/ML Research Engineering, Kempner Institute @Harvard , views are my own
Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
Computational neuroscientist at the FMI.
www.zenkelab.org
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Computational vision. Deep learning. Center for Computational Brain Science @Brown University. Artificial and Natural Intelligence Toulouse Institute (France). European Laboratory for Learning and Intelligent Systems (ELLIS).
Assistant professor at NYU.
Algorithms for survival. Investigating the computing architecture of the mind and brain at its limits. 🧠
Lab account for science only.
https://www.caian.uni-bonn.de/en
I am a physicist working on neural networks (artificial and biological). Find me on dmitrykrotov.com.
Neural reverse engineer, Author, Scientist at Meta Reality Labs, Adjunct Prof at Stanford
Doing cybernetics (without being allowed to call it that). Assistant Professor @ Brown. Previously: IBM Research, MIT, Rutgers. https://kozleo.github.io/
Committed to the daily re-imagining of what a university press can be since 1962.
Website: https://mitpress.mit.edu // The Reader (our home for excerpts, essays, & interviews): https://thereader.mitpress.mit.edu
phd student neuro theory @technion
Neuroscientist at UChicago (Sheffield lab). Hippocampus, memory, computations, neural code. Computational modeling, data analysis, 2P imaging, patch-clamp.
Neurophysiologist working on motor control and neural population dynamics. Assistant Prof. at the Case Western Reserve University School of Medicine.
https://sauerbreilab.org/
How do we move? I study brains and machines at York University (Assistant Professor). Full-time human.
Neural Control & Computation Lab
www.ncclab.ca
neuroscientist in Korea (co-director of IBS-CNIR) interested in how neuroimaging (e.g. fMRI or widefield optical imaging) can facilitate closed-loop causal interventions (e.g. neurofeedback, patterned stimulations). https://tinyurl.com/hakwan
Neural dynamics, control, learning. Love talking about the brain, math, poetry, science+arts! Striving for kindness. (She/her)
🌎 Postdoc @ NYU (Prev: UW, UCL, IISc)
🤓 https://harshagurnani.github.io/
phd student @ uc irvine cog sci w/ Megan Peters.
🧠 structure learning, metacognition, temporal dynamics, perception, comp cog neuro.
https://www.rochellekaper.com/
she/her
