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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.

Date de publication
juin 2021
Identifiant
10.1016/j.neubiorev.2021.02.003
Auteurs
Inês Hipólito, Maxwell J.D. Ramstead, Laura Convertino, Anjali Bhat, Karl Friston, Thomas Parr
Source
Neuroscience & Biobehavioral Reviews
Détails
125, 88-97
Type de référence
article
Éditeur
Elsevier BV
Source de métadonnées
crossref

Résumé

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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