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Bayesian Modelling of Induced Responses and Neuronal Rhythms.

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第一作者： Dimitris A,Pinotsis

第一单位： The Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. pinotsis@mit.edu.;The Wellcome Trust Centre for Neuroimaging, University College London, London, WC1N 3BG, UK. pinotsis@mit.edu.

作者： Dimitris A,Pinotsis ^[1] ; Roman,Loonis ^[2] ; Andre M,Bastos ^[2] ; Earl K,Miller ^[2] ; Karl J,Friston ^[3]

作者单位： The Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. pinotsis@mit.edu.;The Wellcome Trust Centre for Neuroimaging, University College London, London, WC1N 3BG, UK. pinotsis@mit.edu. ^[1] The Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ^[2] The Wellcome Trust Centre for Neuroimaging, University College London, London, WC1N 3BG, UK. ^[3]

关键词 Compartmental models Connectivity Dynamic causal modelling Hierarchical Bayesian models Intersubject variability Laminar responses Microelectrodes

医学主题词注意力(Attention);贝叶斯定理(Bayes Theorem);认知(Cognition);人类(Humans);微电极(Microelectrodes);模型, 神经学(Models, Neurological);神经元(Neurons)

DOI 10.1007/s10548-016-0526-y

PMID 27718099

发布时间 2025-05-30

基金项目

091593/WT_/Wellcome Trust/United Kingdom R37 MH087027/MH/NIMH NIH HHS/United States 088130/Z/09/Z/WT_/Wellcome Trust/United Kingdom

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