The brain's code and its canonical computational motifs. From sensory cortex to the default mode network: A multi-scale model of brain function in health and disease

作者: Federico E Turkheimer , Robert Leech , Paul Expert , Louis-David Lord , Anthony C Vernon

DOI: 10.1016/J.NEUBIOREV.2015.04.014

关键词:

摘要: A variety of anatomical and physiological evidence suggests that the brain performs computations using motifs are repeated across species, areas, modalities. The computational architecture cortex, for example, is very similar from one area to another types, arrangements, connections cortical neurons highly stereotyped. This supports idea each conducts calculations similarly structured neuronal modules: what we term canonical motifs. In addition, remarkable self-similarity observables at micro-, meso- macro-scale further these increasing spatial temporal scales supporting activity primary motor sensory processing higher-level behaviour cognition. Here, briefly review biological bases circuits role inhibitory interneurons in elements. We then elucidate how can be build a multiplexing information system able encode transmit complexity. point similarities between patterns activation observed cortices by use electrophysiology those large scale networks measured with fMRI. employ model function unify seemingly disparate on pathophysiology schizophrenia single explanatory framework. hypothesise such framework may also extended cover multiple disorders which grounded dysfunction GABA and/or

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