A New Digital Twin for Brain Activity Aims to Speed Research
A New Digital Twin for Brain Activity Aims to Speed Research
Publish Date: 2026-03-28 12:49:00
Source Domain: www.psychologytoday.com
- New AI model acts as a “digital twin” of the human brain, predicting brain activity from visual, auditory, and language stimuli.
- Complexity and difficulty in conducting in vivo experiments on living humans make AI an in silico alternative, aiding in neuroscience research.
- AI applications are expanding rapidly across neurological imaging, diagnostics, early disease detection, neurotech devices, and precision medicine.
- FAIR (Fundamental AI Research) at Meta developed the foundational model TRansfomer for In-silico Brain Experiments (TRIBE) to process video, audio, and text for brain predictions.
- TRIBE v2 improves upon its predecessor, which won the Algonauts 2025 Challenge, in predicting human brain responses from a variety of stimuli.
- Foundation AI models like TRIBE differ from narrow point-solutions by being trained on large datasets for broader, multimodal capabilities.
- The TRIPE study shows the capability of the new AI model to accurately predict high-resolution brain responses for novel stimuli across many subjects and tasks.
