Can birds repurpose their calls for new goals? 🐦 Our study shows that zebra finches can learn to use their distance calls to request food—and even modulate them based on the context! A thread from nature.com/articles/s4159…

Excited to share our latest story! We found disentangled memory representations in the hippocampus that generalized across time and environments, despite the seemingly random drift and remapping of single cells. This code enabled the transfer of prior knowledge to solve new tasks

Excited to share our preprint led by Ain Chung & Jason Alipio showing how few immature adult-born DGCs preferentially recruit inhibition of CA2 and CA3 to disproportionately affect hippocampal network properties and social memory. We began by asking 1/n biorxiv.org/content/10.110…

We are #hiring for a fully funded PhD position at TU Dresden. Message me if you're interested in joining our team. I’m attending COSYNE 2025 if you would like to meet! #cosyne2025 #cosyne25

Introducing Sybeco: a virtual journal club on Systems, Behavioral & Computational Neuroscience Papers are presented by the authors themselves!! Open to all! Agenda: tinyurl.com/ym5xejww Talks now on YouTube: youtube.com/@najafilab Contact me to get on the invite list.

How do local brain perturbations affect global processes? Be careful about where you stimulate the brain! doi.org/10.1073/pnas.2…

🎉 New in #ICLR2025, we present BRAID for input-driven nonlinear dynamical modeling of neural-behavioral data. BRAID disentangles the intrinsic dynamics shared between modalities from input dynamics and modality-specific dynamics. 👏Parsa Vahidi Omid Sani 🧵, Paper & Code ⬇️

Online now: Integrating endocannabinoid signaling, CCK interneurons, and hippocampal circuit dynamics in behaving animals dlvr.it/TKJSbS

Excited to share our new study: "Cold memories control whole-body thermoregulatory responses" by Andrea Muñoz Zamora, Aaron Douglas & team at Trinity College Dublin, in collaboration with Lydia Lynch & Christine Ann Denny Ryan Lab nature nature.com/articles/s4158…

We are super happy to announce the third Workshop of Ideas in Neuroscience! We will once again look critically at assumptions of modern neuroscience: what does it mean that the brain encodes information? Is this a useful approach, or a metaphor that blurs our vision?

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

(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: biorxiv.org/content/10.110…

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 Dekel Galor & 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: arxiv.org/abs/2505.13080

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

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!

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 journals.plos.org/plosbiology/ar…

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. doi.org/10.1038/s41586…