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Post published on Twitter/X on 17 Feb 2021 09:46

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Inês Hipólito, Maxwell J.D. Ramstead, Laura Convertino, Anjali Bhat, Karl Friston, Thomas Parr (2021). Markov blankets in the brain. Neuroscience & Biobehavioral Reviews, 125, 88-97. Elsevier BV.

Publication date
June 2021
Identifier
10.1016/j.neubiorev.2021.02.003
Authors
Inês Hipólito, Maxwell J.D. Ramstead, Laura Convertino, Anjali Bhat, Karl Friston, Thomas Parr
Source
Neuroscience & Biobehavioral Reviews
Details
125, 88-97
Reference type
article
Publisher
Elsevier BV
Metadata source
crossref

Abstract

Recent characterisations of self-organising systems depend upon the presence of a 'Markov blanket': a statistical boundary that mediates the interactions between the inside and outside of a system. We leverage this idea to provide an analysis of partitions in neuronal systems. This is applicable to brain architectures at multiple scales, enabling partitions into single neurons, brain regions, and brain-wide networks. This treatment is based upon the canonical micro-circuitry used in empirical studies of effective connectivity, so as to speak directly to practical applications. The notion of effective connectivity depends upon the dynamic coupling between functional units, whose form recapitulates that of a Markov blanket at each level of analysis. The nuance afforded by partitioning neural systems in this way highlights certain limitations of 'modular' perspectives of brain function that only consider a single level of description.

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