Promoting initiatives at the intersection of
biological and artificial intelligence research.
Promoting initiatives at the intersection of
biological and artificial intelligence research.
The Algonauts Project, first launched in 2019, is on a mission to bring biological and machine intelligence researchers together on a common platform to exchange ideas and pioneer the intelligence frontier.
Inspired by the astronauts' exploration of space, "algonauts" explore biological and artificial intelligence with state-of-the-art algorithmic tools, thus advancing both fields through collaborative innovation and open science.
Inspired by astronauts who launched into space to explore a new frontier, the Algonauts Project aims to explore biological and machine intelligence with the latest algorithmic tools. Comparing brains and models could lead to unexpected insights into what makes intelligent systems efficient, robust and trustworthy.
The brain has inspired many of the algorithms responsible for the recent and spectacular progress in artificial intelligence. Those algorithms are now critical in testing new theories about the brain. The Algonauts Project brings together intelligence researchers in both domains to accelerate the pace of innovation.
Open science creates an environment for sharing and collaboration, which are important for advancing intelligence research and ensuring that results are valid and reproducible. The Algonauts Project is committed to a spirit of open collaboration.
The Algonauts Project is designed to expand to other fields, from physics and biology to the social sciences, and to complement experimental, theoretical and computational disciplines. It will grow, in content and methods, with the communities that shape this endeavor.
The Algonauts Project challenges are recurrent events that aim at bringing biological and artificial researchers together in building the most accurate models of the brain. Every challenge is unique in terms of the modelling task and data. If you want to contribute your data for future challenges, get in touch with us!
Explore the ChallengesNet2Brain is a toolbox for comparing brain activity with activations from over 600 pretrained deep neural networks. It helps neuroscientists explore links between artificial and biological neural representations through a user-friendly interface.
Explore Net2BrainThe Brain Encoding Response Generator (BERG) is a resource consisting of multiple pre-trained encoding models of the brain and an accompanying Python package to generate – with just a few lines of code – accurate in silico neural responses to arbitrary stimuli for large scale in silico neuroscience experimentation.
Explore BERGThe BOLD Moments Dataset (BMD) contains whole-brain fMRI responses to over 1000 short (3 s) naturalistic video clips of visual events across 10 human subjects. This dataset was used to train encoding models of the brain during the Algonauts Project 2021 challenge.
Explore BMDTHINGS EEG2 contains EEG responses of 10 human participants to over 16,000 images of objects on naturalistic backgrounds from the THINGS database. This large data size and stimulus richness allow building AI-based encoding and decoding models of visual processing in the brain.
Explore THINGS EEG2Stay tuned for exciting new initiatives aimed at bridging biological and artificial intelligence.
We are happy to announce the Algonauts 2025 challenge winners, who will give a talk at CCN: sdascoli (1st place), NCG (2nd place), SDA (3rd place). Congratulations! For participants: To promote faster and open scientific development, we encourage you to submit your report and code, even if the challenge is now over!
The Algonauts Project 2025 challenge submission deadline has now passed. Thank you to the 60+ Teams who participated! View the results here. For participants: please post your report/code by July 25th here. We'll announce the winners on August 5th!
BERG v1.0 is now officially available! The Brain Encoding Response Generator toolbox has been released on GitHub, featuring multiple pre-trained encoding models and a Python package for generating accurate in silico neural responses.
We're excited to announce the official publication of the Net2Brain paper in Frontiers in Neuroinformatics!
The Algonauts Project 2025 challenge is now open for submissions! Watch this video for an introduction to the challenge (5 min). Submit your best model predictions to the competition until July 13th, 2025.
PhD Student, Freie Universität Berlin
PhD Student, Goethe University Frankfurt
Research Professional, CRIUGM
Data Manager, CRIUGM
Project Manager, Université de Montréal
Associate Professor, Université de Montréal
For inquiries, contact us at algonauts.mit@gmail.com
If you wish to stay updated on the Algonauts Project, including present and future challenges, join our mailing list, or follow us on social media:
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