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神经人工智能:如果网格细胞就是答案,那么路径积分就是问题所在吗?

NeuroAI: If grid cells are the answer, is path integration the question?

作者信息

Frey Markus, Mathis Mackenzie W, Mathis Alexander

机构信息

École Polytechnique Fédérale de Lausanne (EPFL), Brain Mind Institute & Neuro-X Institute, Geneva, Switzerland.

出版信息

Curr Biol. 2023 Mar 13;33(5):R190-R192. doi: 10.1016/j.cub.2023.01.031.

Abstract

Spatially modulated neurons known as grid cells are thought to play an important role in spatial cognition. A new study has found that units with grid-cell-like properties can emerge within artificial neural networks trained to path integrate, and developed a unifying theory explaining the formation of these cells which shows what circuit constraints are necessary and how learned systems carry out path integration.

摘要

被称为网格细胞的空间调制神经元被认为在空间认知中发挥着重要作用。一项新研究发现,在经过路径积分训练的人工神经网络中可以出现具有类似网格细胞特性的单元,并提出了一种统一理论来解释这些细胞的形成,该理论展示了哪些电路约束是必要的,以及学习系统如何进行路径积分。

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