Neural Field Continuum Limits and the Structure–Function Partitioning of Cognitive–Emotional Brain Networks
Year: 2023
Type: review
Abstract: , Pessoa overlooks continuum effects on nonlinear brain network connectivity by eschewing neural field theories and physiologically derived constructs representative of neuronal plasticity. The absence of this content, which is so very important for understanding the dynamic structure-function embedding and partitioning of brains, diminishes the rich competitive and cooperative nature of neural networks and trivializes Pessoa's arguments, and similar arguments by other authors, on the phylogenetic and operational significance of an optimally integrated brain filled with variable-strength neural connections. Riemannian neuromanifolds, containing limit-imposing metaplastic Hebbian- and antiHebbian-type control variables, simulate scalable network behavior that is difficult to capture from the simpler graph-theoretic analysis preferred by Pessoa and other neuroscientists. Field theories suggest the partitioning and performance benefits of embedded cognitive-emotional networks that optimally evolve between exotic classical and quantum computational phases, where matrix singularities and condensations produce degenerate structure-function homogeneities unrealistic of healthy brains. Some network partitioning, as opposed to unconstrained embeddedness, is thus required for effective execution of cognitive-emotional network functions and, in our new era of neuroscience, should be considered a critical aspect of proper brain organization and operation.
Source: Biology
Author: Kevin B. Clark
Institutions: Ames Research Center, Max Planck Society, NASA Astrobiology Institute, Institute of Electrical and Electronics Engineers, National Aeronautics and Space Administration, Cures Within Reach, Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support, University of Pennsylvania, Search for Extraterrestrial Intelligence, Stanford University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,447
OpenAlex ID: W4321598334