Visiting Wisconsin-Madison this week to attend #SIAMAG25. Would love to connect with fellow researchers, say hi if you are around!
06.07.2025 14:57 — 👍 0 🔁 0 💬 0 📌 0
Wow! What a great perspective! Congrats @ninamiolane.bsky.social !
11.06.2025 18:06 — 👍 2 🔁 1 💬 0 📌 0
Multi-timescale reinforcement learning in the brain - Nature
Individual dopaminergic neurons encode future rewards over distinct temporal horizons.
Two papers out today on RL in the dopaminergic neurons of the midbrain of mice (one from McGill's new PI @paulmasset.bsky.social). Both papers demonstrate heterogeneity in discount factors!
www.nature.com/articles/s41...
nature.com/articles/s41...
🧠📈 🧪 #NeuroAI
04.06.2025 16:32 — 👍 83 🔁 26 💬 2 📌 2
🚨Higher-order combinatorial models in TDL are notoriously slow and resource-hungry. Can we do better?
Introducing:
🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀
📝 arXiv: arxiv.org/abs/2505.15405
🧵 (1/6)
26.05.2025 11:17 — 👍 12 🔁 5 💬 1 📌 2
Announcement of a new scholarship program for Turkish students seeking internships in the US!
BTF is now officially accepting funding applications: bridgetoturkiye.org/our-work/schol…
The program requires you to apply with a mentor, who can be a PhD or a postdoc in a US institution.
24.04.2025 07:35 — 👍 0 🔁 0 💬 1 📌 0
How does AI memorize information? How does ChatGPT remember your name? How do RNNs keep track of simple numbers?
Our new paper led by Bariscan Kurtkaya & Fatih Dinc explores the geometry of short-term memory in neural networks—revealing limits in how information is stored!🧵
arxiv.org/abs/2502.17433
03.03.2025 16:34 — 👍 14 🔁 8 💬 1 📌 1
My PhD work is now out! Here, we set out to formalize the neural manifold hypothesis and explain several experimental phenomena in systems neuroscience with a single theoretical framework. I highly recommend giving it a read, though tweetprint come much later!
08.03.2025 23:01 — 👍 10 🔁 4 💬 0 📌 0
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
Prof at Eurecom, studying and sometimes contributing to probabilistic machine learning, generative modeling, stochastic processes. https://michiard.eurecom.io/
PhD student, Princeton Neuroscience Institute
Current interests: social behavior, recurrent neural networks, computational ethology
Mostly: ML for music production workflows.
Professor of Physics & Senior Data Fellow at Belmont University, Nashville TN
Head of Research for Hyperstate Music AI.
Teacher of audio engineers, Opinions my own.
Explainer blog: https://drscotthawley.github.io
asst prof in psychological + brain sciences at ucsb
Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
Associate Professor of Neuroscience at UC Santa Barbara. I study neural circuits underlying sensation, decision making, and spatial navigation.
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.
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
AI and Neuroscience, Assistant Professor at CSHL
For campus content, follow @ucsantabarbara.bsky.social.
Research lab at UCSB Engineering revealing the geometric signatures of nature and artificial intelligence | PI: @ninamiolane.bsky.social
Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
At KITP on the UC Santa Barbara campus, researchers in theoretical physics and allied fields collaborate on questions at the leading edges of science.
www.kitp.ucsb.edu