The authors constructed BrainWideBench using the International Brain Laboratory Brainwide Map dataset, which contains neural and behavioral recordings from 139 mice across 276 brain regions during a sensory-guided decision-making task.
Benchmark tests whether pretraining on multi-region neural recordings enables transfer across animals and tasks
BrainWideBench evaluates pretrained representations on three task suites—behavior decoding, neural dynamics prediction, and anatomical recovery—finding that no single approach excels across all.
Independent
Alexandre Andre · Shivashriganesh P. Mahato · Vinam Arora · Keshav Balaji · Divyansha Lachi · Nanda H. Krishna · +36 more
Research Digest··2 min read
The authors introduce BrainWideBench, a benchmark built on the International Brain Laboratory's Brainwide Map dataset (276 brain regions from 139 mice).
Why this paper
Independent · Part of World Model Planning for Agents, now 19 papers
In one line
No single pretraining method jointly generalizes across behavior, dynamics, and anatomy in mouse brain recordings.
What we could check
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