Will (@wredman4) 's Twitter Profile
Will

@wredman4

JHU Applied Physics Lab Senior Scientist | Koopman operators and hippocampi | He/Him | You know what the French c'est - "Hate baguettes hate"

ID: 1332401234

linkhttp://wredman4.wixsite.com/wtredman calendar_today06-04-2013 20:11:23

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Emily G. Jacobs 🦋 @emilyjacobs.bsky.social (@emilyjacobs) 's Twitter Profile Photo

Join us in beautiful Santa Barbara! We're hiring a full-time junior specialist/research technician to play a central role in data collection & analysis of brain imaging studies of pregnancy & menopause. Learn more & apply at: recruit.ap.ucsb.edu/JPF02974 Or help us spread the word💫

Join us in beautiful Santa Barbara! We're hiring a full-time junior specialist/research technician to play a central role in data collection & analysis of brain imaging studies of pregnancy & menopause.

Learn more & apply at: recruit.ap.ucsb.edu/JPF02974

Or help us spread the word💫
Mohammed Adnan (@adnan_ahmad1306) 's Twitter Profile Photo

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

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
Sebastian Goldt (@sebastiangoldt) 's Twitter Profile Photo

Really happy to see this paper out, led by Nishil Patel in collaboration with Stefano Sarao Mannelli and Andrew Saxe: 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 🚀

Dmitry Krotov (@dimakrotov) 's Twitter Profile Photo

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

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
Leo Kozachkov (@leokoz8) 's Twitter Profile Photo

An awesome collaboration with Aran Nayebi, led by the amazing Reece Keller! 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!

Michael Goard (@goardmichael) 's Twitter Profile Photo

Very happy to see a Transmitter (The Transmitter) piece on our recent work on estrous cycle modulation of hippocampal structure and function. Thanks to Sydney Wyatt (Sydney Wyatt) for covering the work and its context: thetransmitter.org/neuroendocrino…

Roberto Bottini (@bottinirob) 's Twitter Profile Photo

📷 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!

Nina Miolane 🦋 @ninamiolane.bsky.social (@ninamiolane) 's Twitter Profile Photo

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 NeurIPS Conference! 📅 Deadline: Aug 22 📄 Two tracks: 9p proceedings & 4p extended abstracts

Igor Mezic (@igormezic) 's Twitter Profile Photo

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