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BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings

arXiv · AI, language, vision and robotics · article · Sep 18, 2026 · UTC

Advances in large-scale neural recording have made it possible to collect data across many animals and distributed brain regions, raising the question of whether this scale can be exploited to learn general-purpose neural representations transferable across diverse downstream tasks. Yet, progress toward this goal has been limited by fragmented evaluation protocols and a narrow focus on individual task domains. Here, we present BrainWideBench, a benchmark for evaluating across-animal transfer on multi-region neural recordings, built on the International Brain Laboratory Brainwide Map dataset of

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