The mesoanatomy of the cortex, minimization of free energy, and generative cognitionJames Joseph Wright1, Paul David Bourke
Frontiers In Computational Neuroscience. 12 May 2023. Volume 17 - 2023 | doi: 10.3389/fncom.2023.1169772
Capacity for generativity and unlimited association is the defining characteristic of sentience, and this capacity somehow arises from neuronal self-organization in the cortex. We have previously argued that, consistent with the free energy principle, cortical development is driven by synaptic and cellular selection maximizing synchrony, with effects manifest in a wide range of features of mesoscopic cortical anatomy. Here we further argue that in the postnatal stage, as more structured inputs reach the cortex, the same principles of self-organization continue to operate at multitudes of local cortical sites. The unitary ultra-small world structures that emerged antenatally are able to represent sequences of spatiotemporal images. Local shifts of presynapses from excitatory to inhibitory cells result in local coupling of spatial eigenmodes and development of Markov blankets, minimizing prediction errors in each unit’s interactions with surrounding neurons. In response to the superposition of inputs exchanged between cortical areas, more complicated, potentially cognitive, structures are competitively selected by the merging of units and elimination of redundant connections that follow from the minimization of variational free energy and removal of redundant degrees of freedom. The trajectory along which free energy is minimized is shaped by interaction with sensorimotor, limbic and brain stem mechanisms, providing a basis for creative and unlimited associative learning.
free energy principle, generative cognition, unlimited association, synchronous oscillation, cortical embryogenesis, cortical self-organization, neuronal homeostasis, apoptosisPre Press Manuscript