New Ideas for Brain Modelling 3

TL;DR

This paper proposes a novel process for modeling neuronal pattern sequences in the brain, utilizing energy-based equations, entropy, cohesion, and a new clustering technique to explain pattern formation and synchronization.

Contribution

It introduces a new framework for brain modeling that includes a method for determining inter-pattern links and a compact grid clustering mechanism.

Findings

Demonstrates how basic repeating structures form complex patterns.

Shows how inter-pattern links can be derived from pattern creation.

Proposes a potential explanation for node synchronization in neural patterns.

Abstract

This paper considers a process for the creation and subsequent firing of sequences of neuronal patterns, as might be found in the human brain. The scale is one of larger patterns emerging from an ensemble mass, possibly through some type of energy equation and a reduction procedure. The links between the patterns can be formed naturally, as a residual effect of the pattern creation itself. This paper follows-on closely from the earlier research, including two earlier papers in the series and uses the ideas of entropy and cohesion. With a small addition, it is possible to show how the inter-pattern links can be determined. A compact Grid form of an earlier Counting Mechanism is also demonstrated and may be a new clustering technique. It is possible to explain how a very basic repeating structure can form the arbitrary patterns and activation sequences between them, and a key question of how nodes synchronise may even be answerable.