The Algonauts Project 2027 Challenge — how the human brain makes sense of video games. Launching end of 2026. Sign up to stay updated.

32 fMRI-scanned humans and 8 frontier open weight LLMs play ARC-AGI like games with no rules given. The reasoning models match the human learning trajectories and their hidden states predict human bra...

Given the rapidly growing capabilities of vision-language models (VLMs), extending them to interactive decision-making tasks such as video games has emerged as a promising frontier. However, existing ...

Website of the educational workshop organized during the Montreal Artificial Intelligence and Neuroscience Conference 2025

Website of the educational workshop organized during the Montreal Artificial Intelligence and Neuroscience Conference 2025

Humans and animals show remarkable learning efficiency, adapting to new environments with minimal experience. This capability is not well captured by standard reinforcement learning algorithms that re...

This really is about fine-tuning an audio artificial network to align representations with human brain data, and seeing what happened next

A parliamentary committee is asking for academics’ private information on a strange anti-DEI crusade

Better Code, Better Science: Chapter 4, Part 7

Human brain organization shares a common underlying structure, though recent studies have shown that features of this organization also differ significantly across individual adults. Understanding the...

A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.

Transfer learning enhances the training of novel sensory and decision models by employing rich feature representations from large, pre-trained teacher models. Cognitive neuroscience shows that the hum...

Brainhack School

Research Assistant, Radiology in Calgary, AB, Ca...

DeepMReye is a software package for magnetic resonance-based eye tracking for (f)MRI experiments. Contact: m.nau[at]vu.nl & markus.frey1[at]gmail.com - DeepMReye

Why language models succeeded where video models failed, and what that teaches us about AI

Autonomous, self-improving artificial intelligence has long been a theoretical aspiration, yet practical implementations have remained elusive because formal proof–based self-modification is computati...

Pretrained self-supervised speech models excel in speech tasks but do not reflect the hierarchy of human speech processing, as they encode rich semantics in middle layers and poor semantics in late la...

As large language models (LLMs) continue to revolutionize AI research, there is a growing interest in building large-scale brain foundation models to advance neuroscience. While most existing brain fo...

YouTube video by Jeremy Tuloup

Nature Human Behaviour - Collecting an extensive publicly available dataset on four inhibitory control tasks, Gratton et al. show that more than 1,000 trials per participant are necessary to reduce...