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Area of Science:

  • Neuroscience
  • Evolutionary Biology
  • Cognitive Science
  • Computer Science

Background:

  • Intelligence evolution across species, from insects to humans, is examined.
  • The author's cognitive model, developed over time, informs the discussion.
  • Precursor structures in simpler organisms may have influenced evolutionary pathways.

Purpose of the Study:

  • To explore the evolutionary narrative of intelligence from simple organisms to the human brain.
  • To present a cognitive model that separates data from function, inspired by biological systems.
  • To investigate how structural and functional aspects of neural assemblies contribute to cognitive processes.

Main Methods:

  • Conceptual analysis of intelligence across different life forms.
  • Development and application of a cognitive model with algorithmic components.
  • Examination of neural assemblies and their potential functional outcomes.

Main Results:

  • Separating data from function is architecturally appropriate and enhances system orthogonality.
  • Neural structures and functions in the human brain may operate in sync or be partially separate.
  • Identified potential functional results of neural assemblies, including timing, scheduling, structural intelligence, and neural binding.

Conclusions:

  • Evolutionary influences from simpler organisms may be traceable in complex brains.
  • A cognitive architecture separating data and function offers insights into brain organization.
  • Understanding lower-level neural processes, like structural intelligence and binding, is key to realizing higher-level brain functionality and self-representation.