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In 2016, I heard Alan Stocker present a new perceptual law. Little did I know at the start of that talk how much it would rewrite the way I think about the brain. Huge thanks to Mate and Paul for being amazing mentors, and Lindsey Drayton for being a fantastic editor!

There are still a few spots available for the Twelfth Model-Based Neuroscience and Cognition Summer School, which will take place from 10–14 August 2026 at the University of Amsterdam. Be quick — the remaining spots will be filled on a rolling basis, so make sure to register soon!

New course launching in 2027!🎉 🤓 Neuromatch and @connectedminds.bsky.social are developing a Computational Behaviour course. A two-week, fully remote course open to participants worldwide! Learn more: neuromatch.io/computationa... #ComputationalScience #ComputationalBehaviour #Neuroscience

It was AWESOME to see lots of EXCITING WM research spearheaded by early career researchers at @vssmtg.bsky.social!!! WMS community would LOVE to see your cool research in a form of talks and blitz! Abstract deadline is May 31st! (forms.gle/MccRLJC1xXQ3...)

🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/

Abstract submission for WMS2026 (July 14th-17th) is now open! If you are an early career researcher of working memory, please let us hear about your cool work by submitting your abstract (forms.gle/MccRLJC1xXQ3...). Deadline is May 31st.

It's the due date for APCV-EPC abstracts and it's been amazing watching the exponential influx of abstract submissions today. You are all people after my own last-minute heart 💙 If you haven't submitted yet, you've got til midnight NZ time!

Bayesian efficient coding unifies two foundational theories of sensory processing: efficient coding and Bayesian inference. Central to this account is the idea that natural environmental statistics shape both how sensory information is encoded and how it is perceptually interpreted. By unifying these principles, the framework accounts for counterintuitive perceptual biases and establishes lawful relationships between environmental statistics, bias, and discrimination thresholds. In this article, we review behavioural and neural evidence for this theory in perception and cognition, as well as how short- and long-term adaptation to the environment may be expressed within the framework. We further review theoretical developments that extend the original framework, focusing on how response biases can be decomposed into encoding- and decoding-related components. A decade after its introduction, Bayesian efficient coding continues to evolve as a powerful theory, with recent extensions addressing early limitations and opening new directions for investigating perception and cognition.