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New review with Cheng Xue at U Chicago @cxue.bsky.social in Trends [email protected]! We discuss the neural geometry of task-dependent computation: disentangled encoding, RNN modeling, switch cost, etc. www.cell.com/trends/neuro...
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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 ...
www.cell.com
The ‘neat’ and ‘messy’ in task-dependent neural geometry and computation
Gouki Okazawa