Artificial Brain Based on Credible Neural Circuits in a Human Brain

TL;DR

This paper proposes a model of an artificial brain using credible neural circuits inspired by human psychology, where neurons are represented as simple gates enabling basic reasoning and problem-solving.

Contribution

It introduces a novel approach translating neurons into simple gates and demonstrates how state machines in subconscious memory facilitate reasoning and equation solving.

Findings

Neurons modeled as simple gates enable basic cognitive functions.

State machines in subconscious memory support rudimentary thinking.

Nanoprocessing within short-term memory allows for problem-solving.

Abstract

Neurons are individually translated into simple gates to plan a brain based on human psychology and intelligence. State machines, assumed previously learned in subconscious associative memory are shown to enable equation solving and rudimentary thinking using nanoprocessing within short term memory.