scholarly journals Statistical field theory of the transmission of nerve impulses

2020 ◽  
Author(s):  
Gianluigi Zangari del Balzo

Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems. Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuital elements called ”Ising machines” are introduced. Action potentials are described as quasi-particles of a statistical field theory for the Ising system. The particle description of action potentials is a powerful new tool for describing the generation and propagation of nerve impulses. We thus have the opportunity to exploit another useful point of view to describe the generation and propagation of nerve impulses, especially when classical electrophysiological models break down. Moreover, the corpuscular description allows us to develop new hardware and software devices based on particle physics to study neurodegenerative and demyelinating diseases (Multiple Sclerosis), even integrated by connectomes. It is also suitable for the study of complex networks, cryptography, machine learning, quantum computing and many other applications of medical, physical and engineering interest.

2020 ◽  
Author(s):  
Gianluigi Zangari del Balzo

Abstract Background Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems.Results Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuital elements called ”Ising machines” are introduced. Action potentials are described as quasi-particles of a statistical field theory for the Ising system.Conclusions The particle description of action potentials is a new powerful tool to describe the generation and propagation of nerve impulses. We thus have the opportunity to exploit another useful point of view to describe the generation and propagation of nerve impulses, especially when classical electrophysiological models break down. Moreover, the particle description allows us to develop new hardware and software devices based on general and theoretical physics to study neurodegenerative and demyelinating diseases as Multiple Sclerosis and Alzheimer’s disease, even integrated by connectomes. It is also suitable for the study of complex networks, quantum computing, artificial intelligence, machine and deep learning, cryptography, ultra-fast lines for entanglement experiments and many other applications of medical, physical and engineering interest.


2020 ◽  
Author(s):  
Gianluigi Zangari del Balzo

Abstract Background Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a su cient condition to describe membrane conductance through statistical mechanics of disordered and complex systems.Results Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuital elements called ”Ising machines” are introduced. Action potentials are described as quasi-particles of a statistical field theory for the Ising system.Conclusions The corpuscolar description of action potentials is a new powerful tool to describe the generation and propagation of nerve impulses, especially when conventional electrophysiological models break down. It allows us to develop new hardware and software devices based on particle physics to study neurodegenerative and demyelinating diseases (Multiple Sclerosis), even integrated by connectomes. It is also suitable for the study of complex networks, cryptography, machine learning, quantum computing and many other applications of medical, physical and engineering interest.


2020 ◽  
Author(s):  
Gianluigi Zangari del Balzo

Abstract Background: Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems. Results: Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuital elements called ”Ising machines” are introduced. Action potentials are described as quasi-particles of a statistical field theory for the Ising system. Conclusions: The particle description of action potentials is a powerful new tool for describing the generation and propagation of nerve impulses. We thus have the opportunity to exploit another useful point of view to describe the generation and propagation of nerve impulses, especially when classical electrophysiological models break down. Moreover, the corpuscular description allows us to develop new hardware and software devices based on particle physics to study neurodegenerative and demyelinating diseases (Multiple Sclerosis), even integrated by connectomes. It is also suitable for the study of complex networks, cryptography, machine learning, quantum computing and many other applications of medical, physical and engineering interest.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Gianluigi Zangari del Balzo

Abstract Background Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems. Results Voltage-gated ion channels in the nerve cell membrane are described by the Ising model. Stochastic circuit elements called “Ising Neural Machines” are introduced. Action potentials are described as quasi-particles of a statistical field theory for the Ising system. Conclusions The particle description of action potentials is a new point of view and a powerful tool to describe the generation and propagation of nerve impulses, especially when classical electrophysiological models break down. The particle description of action potentials allows us to develop a new generation of devices to study neurodegenerative and demyelinating diseases as Multiple Sclerosis and Alzheimer’s disease, even integrated by connectomes. It is also suitable for the study of complex networks, quantum computing, artificial intelligence, machine and deep learning, cryptography, ultra-fast lines for entanglement experiments and many other applications of medical, physical and engineering interest.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Gianluigi Zangari del Balzo

An amendment to this paper has been published and can be accessed via the original article.


Nature ◽  
1968 ◽  
Vol 217 (5127) ◽  
pp. 468-469 ◽  
Author(s):  
K. KOKETSU ◽  
S. NISHI

2021 ◽  
Vol 182 (3) ◽  
Author(s):  
Gernot Münster ◽  
Manuel Cañizares Guerrero

AbstractRoughening of interfaces implies the divergence of the interface width w with the system size L. For two-dimensional systems the divergence of $$w^2$$ w 2 is linear in L. In the framework of a detailed capillary wave approximation and of statistical field theory we derive an expression for the asymptotic behaviour of $$w^2$$ w 2 , which differs from results in the literature. It is confirmed by Monte Carlo simulations.


2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Marco Panero ◽  
Antonio Smecca

Abstract We present a high-precision Monte Carlo study of the classical Heisenberg model in four dimensions. We investigate the properties of monopole-like topological excitations that are enforced in the broken-symmetry phase by imposing suitable boundary conditions. We show that the corresponding magnetization and energy-density profiles are accurately predicted by previous analytical calculations derived in quantum field theory, while the scaling of the low-energy parameters of this description questions an interpretation in terms of particle excitations. We discuss the relevance of these findings and their possible experimental applications in condensed-matter physics.


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