Time to let the model speak for itself with closed-loop neurophysiology

IF 26.7 1区医学 Q1 NEUROSCIENCES

Nature Reviews Neuroscience Pub Date : 2025-08-19 DOI:10.1038/s41583-025-00962-x

Benjamin R. Cowley

引用次数: 0

Abstract

In this Journal Club, Benjamin Cowley discusses a 2009 tour-de-force that provided a recipe for constructing closed-loop algorithms by letting predictive models speak for themselves.

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是时候让模型用闭环神经生理学为自己说话了。

在本期刊俱乐部中，Benjamin Cowley讨论了2009年的一项研究，该研究通过让预测模型为自己说话，为构建闭环算法提供了一个配方。

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.