期刊
CURRENT OPINION IN NEUROBIOLOGY
卷 76, 期 -, 页码 -出版社
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2022.102600
关键词
Defensive behaviors; Population coding; Machine learning; Systems neuroscience; Behavioral neurophysiology
资金
- French National Research Agency [ANR- 10-EQPX-08]
- Foundation for Medical Research (FRM)
- University of Bordeaux
Previous studies focused on individual cells' contribution to threat-related behavior, but recent developments have allowed us to understand how collective neuronal activity supports such behavior.
Our understanding of the neuronal circuits and mechanisms of defensive systems has been primarily dominated by studies focusing on the contribution of individual cells in the processing of threat-predictive cues, defensive responses, the extinction of such responses and the contextual modulation of threatrelated behavior. These studies have been key in establishing threat-related circuits and mechanisms. Yet, they fall short in answering long-standing questions related to the integrative processing of distinct threatening cues, behavioral states induced by threat-related events, or the bridging from sensory processing of threat-related cues to specific defensive responses. Recent conceptual and technical developments has allowed the monitoring of large populations of neurons, which in addition to advanced analytic tools, have improved our understanding of how collective neuronal activity supports threatrelated behaviors. In this review, we discuss the current knowledge of neuronal population codes within threat-related networks, in the context of aversive motivated behavior and the study of defensive systems.
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