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Gayatri Kumari,
Ranveer Kumar,
Dr Santwana Rani,
Dr Dimple Kumari,
Prof. A.K. Bhaskar,
- Research Scholar, Department of Physics, Patliputra University, Patna, Bihar, India
- Research Scholar, Department of Physics, Patliputra University, Patna, Bihar, India
- Professor, Department of Botany, College of Commerce Arts & Science, Patna, Bihar, India
- Assistant Professor, Department of Chemistry, College of Commerce Arts & Science, Patna, Bihar, India
- H.O.D. PHYSICS, Department of Physics, College of Commerce Arts & Science, Patna, Bihar, India
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: Microvita, Informational Field Dynamics, Nonlinear Signal Generation, Emergence of Complexity, Matter–Life–Mind Interaction, Nonlinear Systems
Gayatri Kumari, Ranveer Kumar, Dr Santwana Rani, Dr Dimple Kumari, Prof. A.K. Bhaskar. “Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”. Current Trends in Signal Processing. 2026; 17(01):-.
Gayatri Kumari, Ranveer Kumar, Dr Santwana Rani, Dr Dimple Kumari, Prof. A.K. Bhaskar. “Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”. Current Trends in Signal Processing. 2026; 17(01):-. Available from: https://journals.stmjournals.com/ctsp/article=2026/view=239647
References
1. Griffiths D. Introduction to elementary particles. John Wiley & Sons; 2020 Dec 18.
2. Hameroff S, Penrose R. Consciousness in the universe: A review of the ‘Orch OR’theory. Physics of life reviews. 2014 Mar 1;11(1):39-78
3. Peskin ME. An Introduction to quantum field theory. CRC press; 2018 May 4.
4. Penrose R. Shadows of the Mind. Oxford: Oxford University Press; 1994 Jan.
5. Schrödinger E. What is life? The physical aspect of the living cell. Rare Treasure Editions; 2025 Mar 22.
6. Gauthier R. Microvita–The Cosmic Evolutionary Intelligence Agents [Internet]. 2022 Jun 5.
7. Baumgaertner B, Floridi L. The Philosophy of Information. Available at SSRN 3859226. 2016 Mar 3.
8. Landauer R. Irreversibility and heat generation in the computing process. IBM journal of research and development. 1961 Jul;5(3):183-91.
9. Vedral V. Decoding reality: the universe as quantum information. Oxford University Press; 2018.
10. Wheeler JA. Information, physics, quantum: The search for links. Feynman and computation. 2018 Mar 8:309-36.
11. Weinberg S. The quantum theory of fields. Cambridge university press; 1995.
12. Bussey MP. Microvita and other spaces: Deepening research through intuitional practice. Journal of Futures Studies. 2011;16(1):137-50.
Current Trends in Signal Processing
| Volume | 17 |
| 01 | |
| Received | 26/03/2026 |
| Accepted | 01/04/2026 |
| Published | 03/04/2026 |
| Publication Time | 8 Days |
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