Current Trends in Signal Processing Review Article

“Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”

  1. Gayatri Kumari Department of Physics, Patliputra University, Patna
  2. Ranveer Kumar Department of Physics, Patliputra University, Patna
  3. Dr Santwana Rani Department of Botany, College of Commerce Arts & Science, Patna
  4. Dr Dimple Kumari Department of Chemistry, College of Commerce Arts & Science, Patna
  5. Prof. A.K. Bhaskar Department of Physics, College of Commerce Arts & Science, Patna

Abstract

Recognizing how matter, life, and consciousness relate to one another continues to be among the most essential challenges faced by modern science. Contemporary physical theories successfully describe the behavior of elementary particles and large-scale cosmological structures, yet they do not fully explain the emergence of informational complexity and organized patterns observed in biological and cognitive systems. This study proposes a theoretical framework in which Microvita are interpreted as subtle informational entities capable of generating nonlinear informational signals that influence physical fields. A scalar informational field is introduced to represent the collective dynamics of Microvita. The evolution of this field is modeled through a nonlinear diffusion–reaction equation incorporating amplification, nonlinear stabilization, and stochastic fluctuations. Numerical simulations indicate that the informational field can produce aperiodic and spatially localized signal patterns, which interact with conventional matter fields through coupling interactions. These nonlinear informational signals may contribute to the emergence of organized structures and long-range correlations in complex systems. The proposed framework therefore suggests that informational field dynamics could act as a nonlinear signal-generation mechanism connecting physical processes with higher levels of organization in matter–life–mind systems. Although the model remains theoretical, it provides a conceptual basis for further investigation of informational influences in complex natural systems.

Keywords

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