Will Redman
@wredman4
Incoming assist. prof. JHU ECE | Koopman operators and hippocampi | He/Him | You know what the French c'est - "Hate baguettes hate"
Our paper "Identifying Equivalent Training Dynamics" was accepted as a spotlight (top ~5%) 💡 to NeurIPS! A real dream team (but largely Twitterless team) on this with @IgorMezic , Yannis Kevrekidis, Juan Bello-Rivas, Maria Fonoberova, Ryan Mohr 1/n arxiv.org/abs/2302.09160
Apply or retweet! :-)
🧠 Investigate memory, attention, and hippocampal mapping using intracranial #EEG 👉 1 fully funded PhD position at @cimec_unitrento! Supervisor: Roberto Bottini 📌 Apply by June 5, 2025 🔗 phd.unitn.it/drcimec #Neuroscience @BottiniRob
Online now: The estrous cycle modulates hippocampal spine dynamics, dendritic processing, and spatial coding dlvr.it/TKlQHJ
New preprint! tl;dr — We ran around late at night to record wild rats in NYC and figured out how to quantify their behavior and environment. 🧵 w/ Dima Batenkov, @zamakany, @e_mackevicius biorxiv.org/content/10.110…
🌆🐀Check out our new paper about NYC rats! With @ralph_ep , @zamakany and Dima Batenkov. biorxiv.org/content/10.110… 🐀🌆
New preprint! tl;dr — We ran around late at night to record wild rats in NYC and figured out how to quantify their behavior and environment. 🧵 w/ Dima Batenkov, @zamakany, @e_mackevicius biorxiv.org/content/10.110…
California Crackup? Try again. California provides $83.1 billion more than we receive from the federal government. Texas? Receives $71.1 billion more than they provide to the federal government. 71% of the U.S. GDP comes from blue counties.
Foundational models collect all the data from all available instances of the process (e.g. language) to parametrize input to output relationships - interpolatively, with no real time updates. In contrast, the human brain collects data individualized to the process from relatively…
You're into neuroscience and AI? 🧠 🤖 You're working on the mathematics that drives biological and artificial neural networks? We want to hear from you! Submit to NeurReps 2025 at @NeurIPSConf! 📅 Deadline: Aug 22 📄 Two tracks: 9p proceedings & 4p extended abstracts
📢 Call for Papers: NeurReps 2025 ‼️‼️‼️ 🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks. Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages). Deadline: Aug 22, 2025. neurreps.org/call-for-papers
📷 3-Year Postdoc in Cognitive Neuroscience at @BottiniLab, CIMeC, University of Trento! 📷 Memory, attention, eye movements, and cognitive maps INFO: drive.google.com/file/d/1WGEEpl… DEADLINE TO APPLY JULY 9TH - BUT FLEXIBLE START AT END 2025 OR SPRING 2026!
Very happy to see a Transmitter (@_TheTransmitter) piece on our recent work on estrous cycle modulation of hippocampal structure and function. Thanks to Sydney Wyatt (@sydney_elise44) for covering the work and its context: thetransmitter.org/neuroendocrino…
Welcome @VineethDorna! We're hiring across the board to build the best data engine for AI. Come join us! jobs.ashbyhq.com/datologyai
👀 Thrilled to be part of the @datologyai team! Can't wait to start contributing to our mission of high quality data curation!
An awesome collaboration with @aran_nayebi, led by the amazing @rdkeller! The neural-glial circuit underlying futility integration in larval zebrafish naturally emerges in intrinsically motivated, embodied agents. See their excellent threads (and the preprint) for the details!
1/ I'm excited to share recent results from my first collaboration with the amazing @aran_nayebi and @Leokoz8! We show how autonomous behavior and whole-brain dynamics emerge in embodied agents with intrinsic motivation driven by world models.
I am very excited about our new paper just published in PNAS. Dense Associative Memory is a versatile family of models that allows to store large amounts of information, have strong error-correcting capabilities, and other desirable properties. But is it possible to build it in…
Ever wanted to try topological deep learning but felt overwhelmed by the complexity? 👉 Meet TopoTune: a plug-and-play framework that turns any graph neural networks into a topological one! @mathildepapillo @gbg1441 @ClaBat9 @geometric_intel @ai_ucsb @ucsbece
TopoTune is going to ICML 2025!🎉🇨🇦 Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at geometric-intelligence.github.io/topotune/
Really happy to see this paper out, led by @nishpathead in collaboration with @stefsmlab and @SaxeLab: we apply the statistical physics toolbox to analyse a simple model of reinforcement learning, and find some cool effects, like a speed-accuracy trade-off for generalisation 🚀
The RL-Perceptron model grants new insights into the capabilities of policy learning in neural networks, including identifying trade-offs between #speed and #accuracy, and a transition between “easy” and “hybrid-hard” learning regimes. Learn more: go.aps.org/3SnDP7L
1/10 🧵 🔍Can weight symmetry provide insights into sparse training and the Lottery Ticket Hypothesis? 🧐We dive deep into this question in our latest paper, "Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry", accepted at #ICML2025