The call is out! Up to three years of a generously funded postdoc fellowship in Israel. DM me if you'd like to work on an application together. azrielifoundation.org/azrieli-fellow…

Both Tononi’s IIT (phi) and Friston’s FEP start from fundamental, axiomatic, and debatable assumptions. These assumptions are generally made without humility. This allows them to make exceptionally broad claims. Which contributes to my unease about them.

New preprint (#neuroscience #deeplearning doi.org/10.1101/2025.0…)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.

prudent reminder for scientists today, from a thousand years ago

We just finished up Winter quarter CS375: Large-Scale Neural Network Models for Neuroscience. Check out the publicly available Syllabus and lecture notes cs375.stanford.edu/course-calenda…

How can we make progress in developing a general model of neural computation rather than a series of disjointed models tied to specific experimental circumstances, ask Eva Dyer and Blake Richards Blake Richards in the latest entry in our NeuroAI series. thetransmitter.org/neuroai/accept…

🗓️ **CCN25 deadline reminder**: 2-page extended abstract submissions are due this Thursday (April 10th). We recommend drafting submissions in OpenReview (openreview.net/group?id=ccneu…) well in advance. OpenReview drafts remain editable until the deadline.

The ICML 2025 workshops list is online! Many exciting topics. Check them out icml.cc/virtual/2025/e…

I'm building an undergrad course in cognitive psych. I don't want to organize it around the standard attention-memory etc divisions, but rather around general principles of cognition that cut across the specific domains. Any ideas? Relevant textbook? Syllabi of similar courses?

**ecstatic** to share our ICLR 2025 paper: sparse components distinguish visual pathways & their alignment to neural networks, with Nancy Kanwisher @[email protected] and Meenakshi Khosla (openreview.net/forum?id=IqHeD…) 1/n

Lots of progress in mech interp (MI) lately! But how can we measure when new mech interp methods yield real improvements over prior work? We propose 😎 𝗠𝗜𝗕: a Mechanistic Interpretability Benchmark!

Before ICLR 2025 comes to and end tomorrow, a few #NeuroAI impressions from Singapore. First, very happy to present our work on TopoLM as an oral, here with Neil Rathi x.com/HannesMehrer/s… paper: doi.org/10.48550/arXiv… code: github.com/epflneuroailab…