Interplay: Dispersed Activation in Neural Networks

TL;DR

This paper explores how multi-point stimulation in Hebbian neural networks enhances memory recall speed and mimics biological clarification processes through stimulus interplay.

Contribution

It introduces a multi-point stimulation method and investigates the interplay effects, improving recall efficiency in neural networks.

Findings

Faster memory recall with multi-point stimulation

Interplay of stimuli parallels biological recall processes

Equilibrium achieved for specific memory data

Abstract

This paper presents a multi-point stimulation of a Hebbian neural network with investigation of the interplay between the stimulus waves through the neurons of the network. Equilibrium of the resulting memory is achieved for recall of specific memory data at a rate faster than single point stimulus. The interplay of the intersecting stimuli appears to parallel the clarification process of recall in biological systems.