Causal influence in neural systems: Reconciling mechanistic-reductionist and statistical perspectives Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino & SL Bressler

Griffiths John D.

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Causal influence in neural systems: Reconciling mechanistic-reductionist and statistical perspectives Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino & SL Bressler

机译：神经系统中的因果影响：调和机械化的减少主义观点和统计观点评述M. Mannino和SL Bressler撰写的“大规模脑网络因果关系的基础观点”

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来源
《Physics of life reviews》 |2015年第null期|共3页
作者
Griffiths John D.;
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原文格式 PDF
正文语种 eng
中图分类物理学;
关键词
Causality; Neural mass modelling; EEG; MEG; fMRI; Neuroimaging;

机译：因果关系;神经质量建模;EEG;MEG;fMRI;神经影像学;
入库时间 2022-08-18 16:18:37

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1. Causal influence in neural systems: Reconciling mechanistic-reductionist and statistical perspectives Comment on "Foundational perspectives on causality in large-scale brain networks" by M. Mannino & SL Bressler [J] . Griffiths John D. Physics of life reviews . 2015,第Null期

机译：神经系统中的因果影响：调和机械化的减少主义观点和统计观点评述M. Mannino和SL Bressler撰写的“大规模脑网络因果关系的基础观点”
2. Critical perspectives on causality and inference in brain networks: Allusions, illusions, solutions? Comment on: "Foundational perspectives on causality in large-scale brain networks" by M. Mannino and SL Bressler [J] . Diwadkar Vaibhav A. Physics of life reviews . 2015,第Null期

机译：关于脑网络因果关系和推理的批判观点：典故，幻觉，解决方案？ M. Mannino和SL Bressler评论：“大规模脑网络因果关系的基础观点”
3. The many levels of causal brain network discovery Comment on "Foundational perspectives on causality in large-scale brain networks" by M. Mannino and SL Bressler [J] . Valdes-Sosa Pedro A. Physics of life reviews . 2015,第Null期

机译：因果网络的多层次发现M. Mannino和SL Bressler评述“大规模脑网络因果关系的基础观点”
4. Applying Neural Networks to Large-Scale Distribution System Analysis: an Empirical Computational Perspective [C] . Sjoerd C. Doumen, Raoul Bernards, Johan Morren, International Conference on Smart Energy Systems and Technologies . 2020

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5. Interplay between default-mode and task-positive networks: Functional characterization of the brain's large-scale neural systems. [D] . Chen, Ching-nung. 2010

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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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7. Dynamic causal modeling and Granger causality Comments on: The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution [O] . Friston, Karl 2011

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Causal influence in neural systems: Reconciling mechanistic-reductionist and statistical perspectives Comment on 'Foundational perspectives on causality in large-scale brain networks' by M. Mannino & SL Bressler

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