气候变化领域集成服务门户(CCPortal): Multiple timescales of neural dynamics and integration of task-relevant signals across cortex

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DOI	10.1073/pnas.2005993117
	Multiple timescales of neural dynamics and integration of task-relevant signals across cortex
	Spitmaan M.; Seo H.; Lee D.; Soltani A.
发表日期	2020
ISSN	0027-8424
起始页码	22522
结束页码	22531
卷号	117 期号:36
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.
英文关键词	Neural heterogeneity; Prefrontal cortex; Reward integration
语种	英语
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
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160226
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
推荐引用方式 GB/T 7714	Spitmaan M.,Seo H.,Lee D.,et al. Multiple timescales of neural dynamics and integration of task-relevant signals across cortex[J],2020,117(36).
APA	Spitmaan M.,Seo H.,Lee D.,&Soltani A..(2020).Multiple timescales of neural dynamics and integration of task-relevant signals across cortex.Proceedings of the National Academy of Sciences of the United States of America,117(36).
MLA	Spitmaan M.,et al."Multiple timescales of neural dynamics and integration of task-relevant signals across cortex".Proceedings of the National Academy of Sciences of the United States of America 117.36(2020).