An New Type Of Artificial Brain Using Controlled Neurons

TL;DR

This paper proposes a novel artificial brain model using controlled toggles that emulate neurons, enabling parallel computation and autonomous behavior for complex image recall.

Contribution

It introduces a new neural network architecture based on controlled toggles, supporting autonomous actions and complex image processing.

Findings

Controlled toggles can compute parameters for complex images

The architecture supports autonomous behavior

Enables parallel processing of neural information

Abstract

Plans for a new type of artificial brain are possible because of realistic neurons in logically structured arrays of controlled toggles, one toggle per neuron. Controlled toggles can be made to compute, in parallel, parameters of critical importance for each of several complex images recalled from associative long term memory. Controlled toggles are shown below to amount to a new type of neural network that supports autonomous behavior and action.