Wiener-Granger causality for effective connectivity in the hidden states: Indication from probabilistic causality Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino and SL Bressler

Tang Wei

首页> 外文期刊>Physics of life reviews >Wiener-Granger causality for effective connectivity in the hidden states: Indication from probabilistic causality Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino and SL Bressler

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Wiener-Granger causality for effective connectivity in the hidden states: Indication from probabilistic causality Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino and SL Bressler

机译：Wiener-Granger因果关系在隐藏状态下的有效连通性：概率因果关系的指示评论M. Mannino和SL Bressler对“大规模脑网络因果关系的基础观点”的评论

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《Physics of life reviews》 |2015年第null期|共2页
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Tang Wei;
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1. Wiener-Granger causality for effective connectivity in the hidden states: Indication from probabilistic causality Comment on "Foundational perspectives on causality in large-scale brain networks" by M. Mannino and SL Bressler [J] . Tang Wei Physics of life reviews . 2015,第Null期

机译：Wiener-Granger因果关系在隐藏状态下的有效连通性：概率因果关系的指示评论M. Mannino和SL Bressler对“大规模脑网络因果关系的基础观点”的评论
2. What is the nature of causality in the brain? - Inherently probabilistic Comment on "Foundational perspectives on causality in large-scale brain networks" by M. Mannino and SL Bressler [J] . Dhamala Mukesh Physics of life reviews . 2015,第Null期

机译：大脑中因果关系的本质是什么？ -M. Mannino和SL Bressler对“大规模脑网络因果关系的基础观点”的固有概率评论
3. Complex-system causality in large-scale brain networks Comment on "Foundational perspectives on causality in large-scale brain networks" by M. Mannino and SL Bressler [J] . Pessoa Luiz, Najafi Mahshid Physics of life reviews . 2015,第Null期

机译：大规模脑网络中复杂系统的因果关系评论M. Mannino和SL Bressler撰写的“大规模脑网络中因果关系的基础观点”
4. Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality [C] . Xiang Jiang, Haixian Wang IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference . 2021

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5. PROBABILISTIC CAUSALITY AND THE FOUNDATIONS OF MODERN SCIENCE. [D] . FORSTER, MALCOLM RICHARD. 1984

机译：概率因果关系和现代科学基础。
6. Dynamic causal modeling and Granger causality Comments on: The identification of interacting networks in the brain using fMRI: Model selection causality and deconvolution [O] . Karl Friston -1

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机译：大规模脑网络拖延的有效连通性：格兰杰因果关系分析

Wiener-Granger causality for effective connectivity in the hidden states: Indication from probabilistic causality Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino and SL Bressler

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