🎉Congratulations to Guillermo Bernárdez Gil! Thrilled to share that our postdoc, Guille, has been awarded the 2026 Extraordinary Doctoral Award by the Universitat Politècnica de Catalunya (UPC). Congrats, Guille, so proud to have you on our team👏 🔗https://tinyurl.com/43hbr9t3

Our review on superposition in AI & brains is published in @nature.com #Machine #Intelligence 🌐 Neural networks encode concepts in superposition. We can recover them in 3 steps: identifiability, compressed sensing, interpretability. W/ @david-klindt.bsky.social O'Neil Reizinger & Maurer 🌟

A geometric and dynamical theory of latent computations in biological neural networks https://www.biorxiv.org/content/10.64898/2026.07.10.737763v1

🔵⚡Big feature in @cnn.com this week on our very own Prof. Shuji Nakamura (Materials & ECE). The man who lit up the world with blue LEDs, and now wants to power it too. 🔗https://tinyurl.com/msm4h9bf @ucsantabarbara.bsky.social @ucsbengineering.bsky.social

Read about the research by KITP postdoc @fatihdinc.bsky.social news.ucsb.edu/2026/022632/...

New mathematical frameworks reveal how stable thoughts emerge from chaotic brain activity

Postdoc Fatih Dinc has been recognized by the the Society for Industrial and Applied Mathematics for his work developing a bridge between mathematics and neuroscience.

news.ucsb.edu

Why did RNNs fail to learn long-term dependencies? What if we added one more modification, maybe now? It turns out we can give a pretty broad, analytical answer! See the attached paper for a rigorous treatment using centre manifolds, low-rank RNNs, and dynamical systems theory! go.aps.org/4fXWEeF

Ghost Mechanism: An Analytical Model of Abrupt Learning in Recurrent Networks

This study establishes the ghost mechanism as an underlying mechanism for abrupt learning, whereby the recurrent neural network develops ghost points---transient dynamical bottlenecks---and identifies...

go.aps.org

Physical Review X@physrevx.aps.org · last mo.

Why do neural networks undergo abrupt learning after training on memory tasks? New research traces this phenomenon to a “ghosting” mechanism that locks the system into a no-learning zone and proposes two practical fixes to address these pitfalls. 📝 https://go.aps.org/4fXWEeF

Why do neural networks undergo abrupt learning after training on memory tasks? New research traces this phenomenon to a “ghosting” mechanism that locks the system into a no-learning zone and proposes two practical fixes to address these pitfalls. 📝 https://go.aps.org/4fXWEeF

Blessed to be surrounded by amazing mentors, thank you @andyalexander.bsky.social

andy alexander@andyalexander.bsky.social · 2mo ago

@fatihdinc.bsky.social won the Richard C. DiPrima Prize from SIAM! He is an incredible scientist and I feel genuinely lucky to work with him alongside @wtredman.bsky.social and @ninamiolane.bsky.social . Congrats Fatih! Read more here: news.ucsb.edu/2026/022632/...

🎉 Congratulations to @fatihdinc.bsky.social, postdoc in UC Santa Barbara #ECE and the Kavli Institute for Theoretical Physics, on winning the Richard C. DiPrima Prize from the Society for Industrial and Applied Mathematics (SIAM). 🏆 🔗 Read the full story: lnkd.in/gd27SUAA

My postdoc work with @ninamiolane.bsky.social and @geometric-intel.bsky.social is out! Check it out!

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2mo ago

Low-dimensional Neural Codes Suppress Neuronal Noise and Extend the Working Memory Duration https://www.biorxiv.org/content/10.64898/2026.06.08.731010v1

The Robert Mehrabian College of Engineering is launching METL — the Master of Engineering & Technology Leadership — the first fully online master's degree at UC Santa Barbara, built for working tech professionals around the world 🎓 @ucsbengineering.bsky.social @ucsantabarbara.bsky.social

Very excited to announce the first preprint from the lab @ucsantabarbara.bsky.social -- "Predictive pursuit emerges in high-dimensional RNNs." @wtredman.bsky.social (starting his own group at JHU this fall) summarizes the work nicely in this thread.

Will Redman@wtredman.bsky.social · 3mo ago

New preprint out 🚨 “Predictive pursuit emerges in high-dimensional recurrent neural networks”! This was an awesome collaboration with co-first author @fatihdinc.bsky.social , @andyalexander.bsky.social, @xiaoxiao-lin.bsky.social, and May Chen biorxiv.org/content/10.6... 1/

New preprint out 🚨 “Predictive pursuit emerges in high-dimensional recurrent neural networks”! This was an awesome collaboration with co-first author @fatihdinc.bsky.social , @andyalexander.bsky.social, @xiaoxiao-lin.bsky.social, and May Chen biorxiv.org/content/10.6... 1/

Super excited about this work and to have gotten a chance to work with @andyalexander.bsky.social @fatihdinc.bsky.social @xiaoxiao-lin.bsky.social and May Chan on predictive pursuit in RNNs and mice!

andy alexander@andyalexander.bsky.social · 5mo ago

Come check out our poster "[2-018] Predictive pursuit emerges in high dimensions" Friday from 1-4p if you are at #cosyne2016! This work was led (and is presented) by the amazing @wtredman.bsky.social alongside an awesome team incld. @xiaoxiao-lin.bsky.social, @fatihdinc.bsky.social, and May Chan.

Come check out our poster "[2-018] Predictive pursuit emerges in high dimensions" Friday from 1-4p if you are at #cosyne2016! This work was led (and is presented) by the amazing @wtredman.bsky.social alongside an awesome team incld. @xiaoxiao-lin.bsky.social, @fatihdinc.bsky.social, and May Chan.

We’re excited to kick off this year’s REAL AI Seminar Series! 🤖✨ Thrilled to start with @fatihdinc.bsky.social , thanks for joining us to launch the series. Dr. Fatih Dinc gave a wonderful talk on biological versus artificial neural networks 🤯 @ucsbece.bsky.social @geometric-intel.bsky.social

Love to see it from @fatihdinc.bsky.social 😼🐼 Looking forward to seeing future talks from @ai-ucsb.bsky.social @ucsbece.bsky.social

@ai-ucsb.bsky.social · 6mo ago

We’re excited to kick off this year’s REAL AI Seminar Series! 🤖✨ Thrilled to start with @fatihdinc.bsky.social , thanks for joining us to launch the series. Dr. Fatih Dinc gave a wonderful talk on biological versus artificial neural networks 🤯 @ucsbece.bsky.social @geometric-intel.bsky.social

Our illustrated guide to non-Euclidian ML is finally published! Check it out for ⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field ⭐️ broken down tables for easy reading ⭐️ accessible text, additional refs, and more iopscience.iop.org/article/10.1...

Visiting Wisconsin-Madison this week to attend #SIAMAG25. Would love to connect with fellow researchers, say hi if you are around!

Wow! What a great perspective! Congrats @ninamiolane.bsky.social !

PLOS Biology@plosbiology.org · last yr.

Can #AI become a true scientist? @ninamiolane.bsky.social explores how new technologies are reshaping scientific discovery, and why human expertise remains essential as we enter a new era of research powered by intelligent algorithms. 🧪‬ plos.io/4kZi0aB

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

Multi-timescale reinforcement learning in the brain - Nature

Individual dopaminergic neurons encode future rewards over distinct temporal horizons.

nature.com

🚨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)

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.

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

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!

CLaE@claeneuro.bsky.social · last yr.

Latent computing by biological neural networks: A dynamical systems framework. arxiv.org/abs/2502.14337