Cognitive models of behavior are a key part of neuroscience. But discovering them is hard! In new work from Google DeepMind Neuroscience and collaborators HHMI | Janelia, we demonstrate an approach that uses LLMs and large datasets to discover models automatically.

Our new paper with Christopher Langdon is just out in Dr Laurie K Mischley! We show that high-dimensional RNNs use low-dimensional circuit mechanisms for cognitive tasks and identify a latent inhibitory mechanism for context-dependent decisions in PFC data. nature.com/articles/s4159…

If you are a neuroscientist working in pretty much any area you definitely need the content of the CN course, and for many corners of neuro you also need the content of the DL course. Both of which are particularly true if you are an experimentalist.

Our new study from Catherine Dulac led by the amazing Ding Liu. We identify the neural circuit that responds to social isolation consisting two distinct neuronal populations. We also demonstrate that lack of touch leads to emergence of social need.

New SWC research identifies the median raphe nucleus (MRN) as a critical hub for flexible switching between behavioural strategies of perseverance, exploration, and disengagement. Full story 🔀 sainsburywellcome.org/web/research-n…

🚨 We're looking for an experimentalist to join our team at UCL! 🚨 Looking for a postdoc position or want to gain hands-on experience as a research assistant? If you’re excited about visual circuits, systems neuroscience & mouse behavior, please get in touch!

Lateral inhibition from parvalbumin neurons in mouse primary visual cortex reduces sensitivity to contrast; lateral inhibition from somatostatin neurons changes the gain of contrast sensitivity nature.com/articles/s4159…

Big ideas meet neuroscience at Neuromonster Summit: groundbreaking event exploring the future of brain science, AI, & human potential! Join visionary thinkers, leading neuroscientists, and tech innovators 🧠✨ 🎟️ Reserve your spot : neuromonster.org #Neuroscience #AI

Online now: The predictive nature of spontaneous brain activity across scales and species dlvr.it/TJZf4Q

Join Neuromatch Academy courses for hands-on experience in computational neuroscience, machine learning, and data science with expert mentors. Apply by March 23rd! 🎯 Apply here: neuromatch.io/courses/ #Neuroscience #MachineLearning

I'm happy to share the final version of our paper in nature this week, with a lot of new data! 📄: nature.com/articles/s4158… This would have been impossible without support from the NIH (especially BRAIN Initiative), as well as HHMI, Simons Foundation, Princeton Neuroscience Institute, HHWF, BRF.

Systems neuroscientists could use a tool that allows them to tweak neuronal activity and record at the same time. The Neuropixels Opto probe, although still a protoype, might be such a device. By Claudia López Lloreda thetransmitter.org/neuropixels/pe…

📢 We have an opportunity for students to join our PhD programme in Theoretical Neuroscience and Machine Learning this September. Application deadline is 27 May 2025. Information & how to apply 👉 ucl.ac.uk/gatsby/study-a…

Out today in nature: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables. nature.com/articles/s4158…

Thrilled to share our latest work in nature studying inter-brain neural dynamics in both biological and artificial intelligence systems — amazing work by Xingjian_Zhang 🧠, Nguyen Phi, and fantastic collaboration with Jonathan Kao! Read the full article here: rdcu.be/euu5Z

"Striatal visual responses increase prior to visuomotor learning" with: Andrada Marica bioRxiv: biorxiv.org/content/10.110…

Two flagship papers from the International Brain Laboratory, now out in nature: 🧠 Brain-wide map of neural activity during complex behaviour → doi.org/10.1038/s41586… 🧠  Brain-wide representations of prior information in mouse decision-making → doi.org/10.1038/s41586… +