理论神经科学还有发展的空间

IF 26.7 1区医学 Q1 NEUROSCIENCES

Nature Reviews Neuroscience Pub Date : 2025-08-20 DOI:10.1038/s41583-025-00965-8

Ann Kennedy

引用次数: 0

摘要

理论神经科学的目标是通过仔细设计和解释数学模型来揭示神经计算的原理。在这里，我研究了理论神经科学中自上而下的概念模型和自下而上的机制模型的使用，探索它们如何与实验实践联系起来，以及未来发展的空间在哪里。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Theoretical neuroscience has room to grow

The goal of theoretical neuroscience is to uncover principles of neural computation through careful design and interpretation of mathematical models. Here, I examine the use of top-down conceptual and bottom-up mechanistic models in theoretical neuroscience, exploring how they connect with experimental practice and where there is room for future growth.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.