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Natural behavior is the language of the brain

期刊

CURRENT BIOLOGY
卷 32, 期 10, 页码 R482-R493

出版社

CELL PRESS
DOI: 10.1016/j.cub.2022.03.031

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  1. NIH [1UF1NS116377-01]

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The breadth and complexity of natural behaviors have always fascinated researchers in understanding how our perceptions, actions, and internal thoughts are generated by the brain. However, the traditional approach of studying stereotyped behaviors in model species has limited the exploration of the full range of natural behaviors. With emerging technologies and analytical tools, a new mode of neuroscience focused on natural behaviors is possible, allowing for a comprehensive understanding of the link between behaviors and neural activity.
The breadth and complexity of natural behaviors inspires awe. Understanding how our perceptions, actions, and internal thoughts arise from evolved circuits in the brain has motivated neuroscientists for generations. Researchers have traditionally approached this question by focusing on stereotyped behaviors, either natural or trained, in a limited number of model species. This approach has allowed for the isolation and systematic study of specific brain operations, which has greatly advanced our understanding of the circuits involved. At the same time, the emphasis on experimental reductionism has left most aspects of the natural behaviors that have shaped the evolution of the brain largely unexplored. However, emerging technologies and analytical tools make it possible to comprehensively link natural behaviors to neural activity across a broad range of ethological contexts and timescales, heralding new modes of neuroscience focused on natural behaviors. Here we describe a three-part roadmap that aims to leverage the wealth of behaviors in their naturally occurring distributions, linking their variance with that of underlying neural processes to understand how the brain is able to successfully navigate the everyday challenges of animals??? social and ecological landscapes. To achieve this aim, experimenters must harness one challenge faced by all neurobiological systems, namely variability, in order to gain new insights into the language of the brain.

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