The 'neat' and 'messy' in task-dependent neural geometry and computation
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To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their 'neat' features: neuronal population activity encodes dist... ...
