Modelling the Dynamic Cognitive System (DCS) interfacing brain and theclassical Zero-Point Field (ZPF) conceptualized within the framework ofstochastic electrodynamics

Authors

  • Rajeshwar Mukherjee 1Department of Mathematics, Nalanda University, Rajgir-803 116, Bihar, India
  • Khushi Kothari 2School of Buddhist Studies, Nalanda University, Rajgir-803 116, Bihar, India

DOI:

https://doi.org/10.56042/ijbb.v63i6.28166

Keywords:

ACF, Hard Problem of Consciousness, NCC, Normal modes, Qualia, Vacuum

Abstract

The paper is an attempt to model the Dynamic Cognitive System (DCS) in order to describe the interaction between the brain and the all-pervasive cosmic field, which is equated with the zero-point Field (ZPF) of physics, theorized within the framework of stochastic electrodynamics. The interaction has been modelled in terms of the DCS, of which the all-pervasive cosmic field is considered to be an integral component. The modelling of the DCS, inspired by some recent works, aims at addressing the hard problem of consciousness and further exploring some novel features of the brain corresponding to the different states of consciousness. The model is a scientific conceptualization informed by some philosophical insights. The empirical ideas are scientifically characterized and mapped on to the framework of stochastic electrodynamics. The problem thus has been reduced to the dynamics of a harmonic oscillator dipped in the classical vacuum, which is characterized by the ZPF. The differential equation with a noise term becomes the representative model for the DCS, opening up an enormous scope for interpretation in regard to the physics of the cognitive response of the brain and also that of the qualia. The model is expected to have a bearing on the neural correlates on consciousness.

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Published

2026-05-19

Issue

Section

Papers

How to Cite

Modelling the Dynamic Cognitive System (DCS) interfacing brain and theclassical Zero-Point Field (ZPF) conceptualized within the framework ofstochastic electrodynamics. (2026). Indian Journal of Biochemistry and Biophysics (IJBB), 63(6), 668-677. https://doi.org/10.56042/ijbb.v63i6.28166

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