globalchange  > 气候变化与战略
DOI: 10.1073/pnas.2005993117
论文题名:
Multiple timescales of neural dynamics and integration of task-relevant signals across cortex
作者: Spitmaan M.; Seo H.; Lee D.; Soltani A.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:36
起始页码: 22522
结束页码: 22531
语种: 英语
英文关键词: Neural heterogeneity ; Prefrontal cortex ; Reward integration
Scopus关键词: article ; cingulate gyrus ; decision making task ; human ; prefrontal cortex ; reward ; animal ; brain cortex ; cytology ; decision making ; female ; Macaca ; male ; nerve cell ; nerve cell network ; physiology ; reward ; Animals ; Cerebral Cortex ; Choice Behavior ; Female ; Macaca ; Male ; Nerve Net ; Neurons ; Reinforcement, Psychology ; Reward
英文摘要: A long-lasting challenge in neuroscience has been to find a set of principles that could be used to organize the brain into distinct areas with specific functions. Recent studies have proposed the orderly progression in the time constants of neural dynamics as an organizational principle of cortical computations. However, relationships between these timescales and their dependence on response properties of individual neurons are unknown, making it impossible to determine how mechanisms underlying such a computational principle are related to other aspects of neural processing. Here, we developed a comprehensive method to simultaneously estimate multiple timescales in neuronal dynamics and integration of task-relevant signals along with selectivity to those signals. By applying our method to neural and behavioral data during a dynamic decision-making task, we found that most neurons exhibited multiple timescales in their response, which consistently increased from parietal to prefrontal and cingulate cortex. While predicting rates of behavioral adjustments, these timescales were not correlated across individual neurons in any cortical area, resulting in independent parallel hierarchies of timescales. Additionally, none of these timescales depended on selectivity to task-relevant signals. Our results not only suggest the existence of multiple canonical mechanisms for increasing timescales of neural dynamics across cortex but also point to additional mechanisms that allow decorrelation of these timescales to enable more flexibility. © 2020 National Academy of Sciences. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163398
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作者单位: Spitmaan, M., Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, United States; Seo, H., Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States; Lee, D., Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, United States, Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, United States, Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, United States, Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, United States; Soltani, A., Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, United States

Recommended Citation:
Spitmaan M.,Seo H.,Lee D.,et al. Multiple timescales of neural dynamics and integration of task-relevant signals across cortex[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(36)
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