$\infty-$Dimensional Cerebellar Controller for Realistic Human Biodynamics

TL;DR

This paper introduces an infinite-dimensional cerebellar neural controller based on Feynman's formalism, designed to manage realistic human musculo-skeletal dynamics through a novel, entropy-related control approach.

Contribution

It develops a new $ abla$-dimensional cerebellar model using Feynman's action-amplitude formalism for controlling human biodynamics.

Findings

The model effectively supervises human musculo-skeletal control.

It integrates dissipative Hamiltonian dynamics with neural control.

The approach relates cerebellar control to entropic motor regulation.

Abstract

In this paper we propose an $\infty-$dimensional cerebellar model of neural controller for realistic human biodynamics. The model is developed using Feynman's action-amplitude (partition function) formalism. The cerebellum controller is acting as a supervisor for an autogenetic servo control of human musculo-skeletal dynamics, which is presented in (dissipative, driven) Hamiltonian form. The $\infty-$dimensional cerebellar controller is closely related to entropic motor control. Keywords: realistic human biodynamics, cerebellum motion control, $\infty-$dimensional neural network