Tiny recurrent neural networks for discovering cognitive strategies

IF 29 1区医学 Q1 NEUROSCIENCES

Nature Reviews Neuroscience Pub Date : 2025-12-04 DOI:10.1038/s41583-025-01007-z

Li Ji-An

引用次数: 0

Abstract

In this Tools of the Trade article, Li Ji-An describes tiny recurrent neural networks, an interpretable and flexible modelling framework for discovering cognitive algorithms that govern biological decision-making.

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用于发现认知策略的微小循环神经网络。

在这篇贸易工具文章中，李继安描述了微小的循环神经网络，这是一种可解释且灵活的建模框架，用于发现控制生物决策的认知算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Reviews Neuroscience NEUROSCIENCES-

自引率

0.60%

发文量

104

期刊介绍： Nature Reviews Neuroscience is a multidisciplinary journal that covers various fields within neuroscience, aiming to offer a comprehensive understanding of the structure and function of the central nervous system. Advances in molecular, developmental, and cognitive neuroscience, facilitated by powerful experimental techniques and theoretical approaches, have made enduring neurobiological questions more accessible. Nature Reviews Neuroscience serves as a reliable and accessible resource, addressing the breadth and depth of modern neuroscience. It acts as an authoritative and engaging reference for scientists interested in all aspects of neuroscience.