title: Explicit logic circuits predict local properties of the neocortex's physiology and anatomy.
abstract: BACKGROUND
  Two previous articles proposed an explicit model of how the brain processes information by its organization of synaptic connections. The family of logic circuits was shown to generate neural correlates of complex psychophysical phenomena in different sensory systems.
  
  
  RESULTS
  Here it is shown that the most cost-effective architectures for these networks produce correlates of electrophysiological brain phenomena and predict major aspects of the anatomical structure and physiological organization of the neocortex. The logic circuits are markedly efficient in several respects and provide the foundation for all of the brain's combinational processing of information.
  
  
  CONCLUSIONS
  At the local level, these networks account for much of the physical structure of the neocortex as well its organization of synaptic connections. Electronic implementations of the logic circuits may be more efficient than current electronic logic arrays in generating both Boolean and fuzzy logic.
authors.affiliation: Department of Mathematics, University of Hawaii, Kapiolani, Honolulu, Hawaii, United States of America. LDYoder@gmail.com
authors.forename: Lane
authors.initials: L
authors.lastname: Yoder
mesh_terms: D000465:Algorithms; D000818:Animals; D017143:Fuzzy Logic; D006801:Humans; D008959:Models, Neurological; D019579:Neocortex / Q000033:anatomy & histology / Q000166:cytology / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*