Frontiers in Computational Neuroscience (Jun 2021)

QLCA and Entangled States as Single-Neuron Activity Generators

  • Yehuda Roth

DOI
https://doi.org/10.3389/fncom.2021.600075
Journal volume & issue
Vol. 15

Abstract

Read online

Each neuron in the central nervous system has many dendrites, which provide input information through impulses. Assuming that a neuron's decision to continue or stop firing is made by rules applied to the dendrites' inputs, we associate neuron activity with a quantum like-cellular automaton (QLCA) concepts. Following a previous study that related the CA description with entangled states, we provide a quantum-like description of neuron activity. After reviewing and presenting the entanglement concept expressed by QLCA terminology, we propose a model that relates quantum-like measurement to consciousness. Then, we present a toy model that reviews the QLCA theory, which is adapted to our terminology. The study also focuses on implementing QLCA formalism to describe a single neuron activity.

Keywords