Experience reorganizes content-specific memory traces in macaques 🐒🧠. @perpl_lab @AymanAljishi https://t.co/TDx7wYbgE0

How to transform UMAP from a black box into a glass box: by using a special type of deep network, we can now compute exact linear equivalents that reveal which features drive each point's position in the embedding. @ArcadiaScience [1/8]

🧠 The hippocampus isn’t a one-way circuit. It’s a multilane system for learning & memory. Join us tomorrow to explore how parallel processing emerges from cell diversity. 📍MIN28 | Nov 18 | 9:30–12:00 | Rm 6B. Co-chaired with @FlavioDonato82 #SfN2025 @SfNtweets

📣We are hiring! 📣 Join us as a Postdoctoral Researcher to study brain–body interactions uncovering how neural and physiological systems regulate behavior and energy metabolism under stress! Details are below: 📩 abha.rajbhandari@mssm.edu 🔗

Excited to share our software tool, Toothy, designed for curating hippocampal dentate spikes in LFP. https://t.co/zFNRwQSiII

Please RT - Open PhD position in my group at the Donders Center for Neuroscience, Radboud University. We're looking for a PhD candidate interested in developing theories of learning in neural networks. Applications are open until October 20th. Info:

The hippocampus is one of the most studied brain areas because of its major role in fundamental brain functions including learning, memory, and spatial navigation. In a new #ScienceReview, researchers focus on the role of overlooked areas and circuits within the hippocampus.

Teamed up again with @SolteszLab to write about outside-the-box topics in the hippocampus - out now in @ScienceMagazine. Ever heard of the fasciola cinereum? Maybe you know about ripples, but not dentate spikes. We dive into these and other cool topics

Proud to take on this challenge: building the new @InstitutoCajal @CNC_CSIC @CINCnews into a space where neuroscience crosses boundaries and transforms how we understand the 🧠!! Honored to take the lead after @MoratallasLab and @JuanLerma1 @CSIC

Consider joining us at Stanford as a postdoctoral fellow! If you have a published paper or a preprint, will graduate in the next period, and are excited to work in California, email me your CV and a brief statement of your research interests and trajectory by the end of August.

Also check out our website for a detailed guide and overview: https://t.co/I9plsqjfMe

Advancing a temporal science of behavior Opinion by Drew Abney, Caitlin Fausey, Catalina Suarez-Rivera, & Catherine Tamis-LeMonda (@TamisLeMondaNYU) Free access before Aug 13: https://t.co/Pphv4M87Wx

🚀 🚀Preprint out now on bioRxiv! “KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking” Brings geometry-free, per-neuron drift correction, without uniform movement assumptions in large-scale recordings. 🔗 https://t.co/FDDfOWixvl 👇Code + docs

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions.

New paper shows how nonhuman primates learn (5-) object sequences and use context cues to mentally re-order objects within a learned sequence – showing that NHPs form non-spatial cognitive maps 1 / 2

On that note, I'll be looking for postdocs, students, and likely a computational lab tech/lab manager or research software engineer. Please share, and if this kind of work (and the prospect of helping get a new lab off the ground) sounds interesting to you, please reach out!

Thrilled to announce I'll be starting my own neuro-theory lab, as an Assistant Professor at @YaleNeuro @WuTsaiYale this Fall! My group will study offline learning in the sleeping brain: how neural activity self-organizes during sleep and the computations it performs. 🧵

Elegant theoretical derivations are exclusive to physics. Right?? Wrong! In a new preprint, we: ✅"Derive" a spiking recurrent network from variational principles ✅Show it does amazing things like out-of-distribution generalization 👉[1/n]🧵 w/ co-lead @dekelgalor & Jake Yates

Info theory offers powerful measures for capturing complexity & interaction among elements of a complex system, like the brain! 🧠 Here's our new unified reference for key info-theoretic time series measures ft. 📊 visuals, ➗equations, & 💬descriptions: https://t.co/nbBxTNHmhU

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels. Link: https://t.co/Sqk5dSaLKV

Please RT🙏🚀 I will be submitting applications for #Tenure_Track #AssistantProfessor positions this fall across the departments of #neuroscience, #psychiatry, #psychology, #BME! Please let me know if you will be hiring and see below for details on my vision and details!👇1/N