The solutions found by neural networks to solve a task are often inscrutable. We have little insight into why a particular structure emerges in a network. By reverse engineering neural networks from dynamical principles, Dubreuil, Valente et al. show how neural population structure enables computational flexibility.

中文翻译：

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链接任务结构和神经网络动力学

神经网络找到的解决任务的解决方案通常是难以理解的。我们对网络中出现特定结构的原因知之甚少。通过从动力学原理逆向工程神经网络，Dubreuil，Valente 等人。展示神经群体结构如何实现计算灵活性。