Causal Modelling and Brain Connectivity in Functional Magnetic Resonance Imaging
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Abstract
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DOI: 10.1371/journal.pbio.1000033
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References listed on IDEAS
- Odd O. Aalen & Arnoldo Frigessi, 2007. "What can Statistics Contribute to a Causal Understanding?," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(1), pages 155-168, March.
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- repec:jss:jstsof:44:i13 is not listed on IDEAS
- Liane Schmidt & Maël Lebreton & Marie-Laure Cléry-Melin & Jean Daunizeau & Mathias Pessiglione, 2012. "Neural Mechanisms Underlying Motivation of Mental Versus Physical Effort," PLOS Biology, Public Library of Science, vol. 10(2), pages 1-13, February.
- Vasilii V. Kuimov & Konstantin V. Simonov & Eva V. Shcherbenko & Liudmila V. Iushkova, 2023. "Ecosystems and Their Digital Models as Factors of Algocognitive Culture and Transition to New Technological Order," Social Sciences, MDPI, vol. 12(4), pages 1-11, March.
- Will D Penny & Klaas E Stephan & Jean Daunizeau & Maria J Rosa & Karl J Friston & Thomas M Schofield & Alex P Leff, 2010. "Comparing Families of Dynamic Causal Models," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-14, March.
- Tian Ge & Keith M Kendrick & Jianfeng Feng, 2009. "A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning," PLOS Computational Biology, Public Library of Science, vol. 5(11), pages 1-13, November.
- Qiang Luo & Tian Ge & Fabian Grabenhorst & Jianfeng Feng & Edmund T Rolls, 2013. "Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-15, October.
- Wei Tang & Steven L Bressler & Chad M Sylvester & Gordon L Shulman & Maurizio Corbetta, 2012. "Measuring Granger Causality between Cortical Regions from Voxelwise fMRI BOLD Signals with LASSO," PLOS Computational Biology, Public Library of Science, vol. 8(5), pages 1-14, May.
- Luca M. Possati, 2021. "Freud and the algorithm: neuropsychoanalysis as a framework to understand artificial general intelligence," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-19, December.
- Oscar Miranda-Dominguez & Brian D Mills & Samuel D Carpenter & Kathleen A Grant & Christopher D Kroenke & Joel T Nigg & Damien A Fair, 2014. "Connectotyping: Model Based Fingerprinting of the Functional Connectome," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-16, November.
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