There's one week left to apply to become this Fall's BCS Rising Star speaker 🌟 Please make sure to apply if you're a postdoc in the Brain & Cognitive Sciences🧠 Reposts are appreciated! 🪐

1/ New preprint + VSS poster! Attention has long been thought to enable efficient vision. But does it? First demonstration that attention—consuming just 4-5% of the energy budget—can cut the energetic costs of vision in half. #VSS2026

The Causality in Cognition Lab -- a supportive, bluesky-colored team -- is looking for a predoc to join us! Here are infos about the lab (cicl.stanford.edu) and the position (careersearch.stanford.edu/jobs/iriss-p...). The application deadline is May 1st. Please share, thank you 🙏

How attention saves energy in vision https://www.biorxiv.org/content/10.64898/2026.03.18.710397v1

🚨 #CCN2026 Proceedings submissions are open! CCN 2026 again features an 8-page Proceedings track (alongside extended abstracts). Accepted papers will appear in CCN-Proceedings (CCN‑P) with DOIs on OpenReview.

Thrilled to start 2026 as faculty in Psych & CS @ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)

starting fall 2026 i'll be an assistant professor at @upenn.edu 🥳 my lab will develop scalable models/theories of human behavior, focused on memory and perception currently recruiting PhD students in psychology, neuroscience, & computer science! reach out if you're interested 😊

1/ Can causal models and causal inference engines emerge through next-token prediction? Judea Pearl and others (Zečević et al. 2023) have argued no. We present behavioral and mechanistic evidence that this is possible. #neurips2025 #NeurIPS

Why do we not remember being a baby? One idea is that the hippocampus, which is essential for episodic memory in adults, is too immature to form individual memories in infancy. We tested this using awake infant fMRI, new in @science.org #ScienceResearch www.science.org/doi/10.1126/...

Key-value memory is an important concept in modern machine learning (e.g., transformers). Ila Fiete, Kazuki Irie, and I have written a paper showing how key-value memory provides a way of thinking about memory organization in the brain: arxiv.org/abs/2501.02950

Deep neural networks are complex, but looking inside them ought to be simple. Check out TorchLens, a package that can visualize any PyTorch network and extract all activations and metadata in just one line of code: github.com/johnmarktayl... www.nature.com/articles/s41...

Are you a grad student in AI interested in neuroscience and neuroAI? Become a summer neuroAI intern at CSHL! www.schooljobs.com/careers/cshl...

I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵