Unifying biophysical consciousness theories with MaxCon: maximizing configurations of brain connectivity.

A new biophysical theory of consciousness, MaxCon, integrates aspects of several existing neuroscientific theories to find convergence points and simplify understanding of how cellular collective activity organizes to fulfill dynamic requirements. It highlights the association of consciousness with maximization of the number of configurations of neural network connections, constrained by neuroanatomy, biophysics, and the environment. A computable index indicating consciousness level is presented. The theory aims to provide a comprehensive view on consciousness and how normal nervous system dynamics can develop into pathological states, addressing the current discordance in consciousness research.

Study at a glance

Abstract

There is such a vast proliferation of scientific theories of consciousness that it is worrying some scholars. There are even competitions to test different theories, and the results are inconclusive. Consciousness research, far from converging toward a unifying framework, is becoming more discordant than ever, especially with respect to theoretical elements that do not have a clear neurobiological basis. Rather than dueling theories, an integration across theories is needed to facilitate a comprehensive view on consciousness and on how normal nervous system dynamics can develop into pathological states. In dealing with what is considered an extremely complex matter, we try to adopt a perspective from which the subject appears in relative simplicity. Grounded in experimental and theoretical observations, we advance an encompassing biophysical theory, MaxCon, which incorporates aspects of several of the main existing neuroscientific consciousness theories, finding convergence points in an attempt to simplify and to understand how cellular collective activity is organized to fulfill the dynamic requirements of the diverse theories our proposal comprises. Moreover, a computable index indicating consciousness level is presented. Derived from the level of description of the interactions among cell networks, our proposal highlights the association of consciousness with maximization of the number of configurations of neural network connections -constrained by neuroanatomy, biophysics and the environment- that is common to all consciousness theories.