Small neurotransmitters are described as particles in a spinless quantum field in this article. The particles are Bosons, which can, for example, occupy identical energy levels. Furthermore, we view particles in the presynaptic area prior to exocytosis as members of a grand canonical ensemble in thermodynamic equilibrium. As a result, the particles follow the Bose-Einstein statistics, which determine the relevant information entropy and density matrix. The equilibrium fails when neurotransmitters are released, and the Bose-Einstein distribution shifts toA statistical distribution is the Poisson distribution. Furthermore, the particles communicate as wave packets with quantized energies and momenta through chemical synapses, where we characterise the impact of quantum fluctuations. This symmetry braking process, which corresponds to a non-equilibrium phase transition, is characterised by a specific quanta threshold, which is largely reliant on the particle number mean. To model the connections of synaptic neurons in a population to a network, Hamiltonians that incorporate both Bosons and Fermions, as well as their interactions, are employed. Messages are sent via bosons.The switches that send these messages with changing content are (information) and Fermions. The effects we see in such a neural circuitry demonstrate a substantial dependence of the solutions on the initial values, as well as the existence of solutions with chaotic behaviour. These circuitry-based repercussions, together with possible internal network malfunctioning of specific neurons (e.g. intermitted flow), result in a long-term decrease in synaptic plasticity.
Author (S) Details
Paul Levi
Institute for Parallel and Distributed Systems (IPVS), Faculty for Informatics, Electrical Engineering and Information Technology, University Stuttgart, Stuttgart, Germany.
View Book :-https://stm.bookpi.org/NUPSR-V12/article/view/2631
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