Ebrahimi, Mohammad (2025) Homunculus Models in Neuroscience, Immunology, and Quantum Biology: Insights into Cellular Signaling and Communication. International Journal of Innovative Science and Research Technology, 10 (2): 25FEB1429. pp. 1960-1968. ISSN 2456-2165
Human nature is highly complex and considered as an open non-equilibrium stochastic system. The complexity of biological systems related to the nature of cells, diverse components including, spatio-temporal interactions, constant modification, nonlinearity, networking, stochasticity, emergence, feedback loops, dependencies, competitions, degeneracy, phase coherence and chaos, entrainment and other aspects, which all are basis of the fundamental property of complex biological system. To understand such a complicated system like human organism, we need the systematic approaches. Scientists have attempted to better understand human physiology and pathology via both neurological homunculus and immunological Homunculus. It is supposed that biological processes are based on chemistry, and chemistry is based on quantum mechanics. Quantum biology is defined as the field of investigations applying quantum mechanics and chemical physics to biological issues. Quantum mechanics provides a description of the properties of subatomic particles, atoms, molecules, and molecular assemblies and their interaction with biofield. Many concepts such as chemical, acoustic, mechanical, electromagnetic, and molecular are suggested for cellular communications. Information transfer through signaling waves is considered the basic principle of communication between cells. The complex network of constitutively expressed repertoires wave-signals emitted from cells of different tissues, which have various parameters (frequency, amplitude, and coupling) and are different in norm and pathology, we named quantum Homunculus, or briefly Quantuculus. Here we came up with the idea that quantum immunculus continuously can detect in flexible mode coming electromagnetics signal from different part of body and through this evaluate cellular events, such as cell destruction/ proliferation rate, based on time varying and topology characterization.
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