The main obstacle to meaningful brain simulation is the lack of a neuronal model that doesn't require countless biophysical parameters yet detailed enough to match population recordings and connectomics. Cracking this could supplant backprop and transform neuro-inspired AI.
10.11.2025 13:14 — 👍 1 🔁 0 💬 0 📌 0
Prediction is vital for the brain, but not everything. When observations are noisy, estimation improves by looking back. We argue that even single neurons can be retrospective—like LGN lagged cells and olfactory bulb mitral cells
03.11.2025 14:25 — 👍 0 🔁 0 💬 0 📌 0
To survive, the brain must predict the future. In a stochastic dynamical world, neurons may do this by grouping trajectories with similar futures—or similar pasts. We turn this intuition into a data-driven prediction algorithm grounded in neurophysiology: arxiv.org/pdf/2510.269...
03.11.2025 14:24 — 👍 0 🔁 0 💬 1 📌 0
Fantastic and timely workshop! Many thanks to the organizers! neuroai-multimodal-workshop.github.io
18.10.2025 15:07 — 👍 2 🔁 0 💬 0 📌 0
Neural Network: Dmitri Chklovskii
Spotify video
The neuron as a controller and a few other thoughts. Thanks to the GreyMatters podcast for hosting me: open.spotify.com/episode/1ox9...
21.09.2025 23:17 — 👍 3 🔁 0 💬 0 📌 0
Flatiron Research Fellow | Theoretical Neuroscience and Computational Vision
https://www.cns.nyu.edu/~fiquet/
the salad of thought rarely arrives dressed
Exploring the frontiers of the mind, from the latest in neuroscience to the enduring questions of consciousness.
Assistant Professor in computational neuroscience at Cold Spring Harbor Laboratory. Think cortically, act neuronally.
cowleygroup.cshl.edu
Computational Neuroscientist & Neurotechnologist
Theoretical neuroscientist; currently a Harvard Junior Fellow. jzv.io
Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
Theoretical neuroscientist
Research fellow @ Kempner Institute, Harvard
dclark.io
Neuroscience Professor at Harvard University. Personal account and posts here. Research group website: https://vnmurthylab.org.
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
Professor of Physics and Astronomy, Rutgers | Senior Research Scientist, Flatiron Institute | Interested in AI, Neuroscience, Quantum Physics
circuit motifs of action selection, execution, & refinement | functional connectomics | assoc prof | lee.hms.harvard.edu
Neuroscientist at CSHL. Interests: neuroAI, molecular connectomics, & cortical circuits. Co-founder of Cosyne and NAISys meetings.
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Assistant Professor of Physics & Neuroscience at Princeton University. Studying how C. elegans nervous system processes information to generate actions.
Neuroscientist. Long-form opinions at https://markusmeister.com.
Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
Asst Prof at NYU + Flatiron Institute
Computational + Statistical Neuroscience
https://neurostatslab.org/
Professor at NYU; Scientific Director at Ctr for Computational Neurocience, Flatiron Institute. Research in Computational Vision (neurons, perception, machines). Opinions my own.
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
