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The Algonauts Project

@algonautsproject.bsky.social

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. https://algonautsproject.com/

12 Posts214 Follower245 Folgt
@re-vision-init.bsky.social · 5d ago

(1/6) Do our visual neuroscience findings actually replicate? And do they generalize beyond the datasets they were found in? We've lauched re:vision, a community-driven initiative to answer these questions, and we are looking for scientistis to participate. re-vision-initiative.org

Alessandro Gifford@alessandrogifford.bsky.social · 8mo ago

We’d love your feedback on BERG (github.com/gifale95/BERG): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable! forms.gle/pybrqcaqdso2... #NeuroAI #CompNeuro #neuroscience #AI

The Brain Encoding Response Generator (BERG) survey

Thank you for taking part in this survey aimed at (anonymously) collecting your thoughts and suggestions on a new resource called the Brain Encoding Response Generator (BERG; https://github.com/gifale...

forms.gle

Alessandro Gifford@alessandrogifford.bsky.social · last yr.

Vision Deep Neural Networks and Large Language Models complement each other in predicting EEG responses to images, providing a more accurate model of the time course of visuo-semantic processing in the human brain. #NeuroAI #CompNeuro #neuroscience #AI arxiv.org/abs/2506.19497

The time course of visuo-semantic representations in the human brain is captured by combining vision and language models

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we lev...

arxiv.org

Nature Human Behaviour@nathumbehav.nature.com · last yr.

Using in silico neuroscience, @alessandrogifford.bsky.social et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly represent the world as an interconnected network. www.nature.com/articles/s41...

In silico discovery of representational relationships across visual cortex - Nature Human Behaviour

Using in silico neuroscience, Gifford et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly repres...

nature.com

Alessandro Gifford@alessandrogifford.bsky.social · last yr.

(1/7) NSD-synthetic is out! NSD-synthetic enables strict out-of-distribution generalization tests critical for the development of more robust models of visual processing and the formulation of more accurate theories of human vision. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.48550/arX...

A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision

Large-scale visual neural datasets such as the Natural Scenes Dataset (NSD) are boosting NeuroAI research by enabling computational models of the brain with performances beyond what was possible just ...

doi.org