Meta unveils TRIBE v2 brain modelling AI
A new AI model simulates human brain responses to stimulants using large-scale neural data to replicate complex cognitive processing.
TRIBE v2 is a next-generation AI model introduced by Meta, designed to simulate how the human brain responds to complex stimuli such as images, sounds and language. The system functions as a digital twin of neural activity, enabling high-speed and high-resolution predictions of brain responses.
Built on data from over 700 volunteers, TRIBE v2 analyses fMRI recordings to predict brain responses to media such as videos, podcasts, and text. The model improves significantly on previous approaches, offering higher accuracy and the ability to generalise across new subjects, tasks, and languages.
Meta says the system could enable brain studies without human participants in every experiment, potentially accelerating research into neurological conditions. The approach may also support future AI development by incorporating principles derived from neuroscience.
Alongside the launch, Meta has released a research paper, model code, and interactive demo under a non-commercial licence to encourage wider exploration and collaboration in neuroscience and AI research.
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