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迈向自然行为的神经科学。

Toward a neuroscience of natural behavior.

机构信息

Department of Neuroscience, University of Montréal, Montréal, Québec, Canada.

Department of Neuroscience, University of Montréal, Montréal, Québec, Canada.

出版信息

Curr Opin Neurobiol. 2024 Jun;86:102859. doi: 10.1016/j.conb.2024.102859. Epub 2024 Apr 6.

DOI:10.1016/j.conb.2024.102859
PMID:38583263
Abstract

One of the most exciting new developments in systems neuroscience is the progress being made toward neurophysiological experiments that move beyond simplified laboratory settings and address the richness of natural behavior. This is enabled by technological advances such as wireless recording in freely moving animals, automated quantification of behavior, and new methods for analyzing large data sets. Beyond new empirical methods and data, however, there is also a need for new theories and concepts to interpret that data. Such theories need to address the particular challenges of natural behavior, which often differ significantly from the scenarios studied in traditional laboratory settings. Here, we discuss some strategies for developing such novel theories and concepts and some example hypotheses being proposed.

摘要

系统神经科学中最令人兴奋的新进展之一是朝着超越简化的实验室环境并解决自然行为复杂性的神经生理学实验取得的进展。这得益于无线记录在自由移动动物中的技术进步、行为的自动量化以及分析大数据集的新方法。然而,除了新的经验方法和数据外,还需要新的理论和概念来解释这些数据。这些理论需要解决自然行为的特殊挑战,这些挑战通常与传统实验室环境中研究的场景有很大的不同。在这里,我们讨论了一些开发此类新理论和概念的策略以及一些正在提出的示例假设。

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