A bridge-islands model for brains: Developing numeric circuits for logic and motivation

Neuroscience has made impressive advances, but there is a lack of an overall computational brain theory. I would like to present a simplified computational theory in an intuitive language about how the brain wires itself as a multi-interchange bridge that bi-directionally connects many islands where each island is a sensor or effector. The wiring process of the brain is highly self-supervised while a baby lives and acts in his physical environment, e.g., sucking a milk bottle. I use a new precise framework of emergent finite automata to explain how the brain develops its numeric circuits that can be clearly understood in terms of logic. I also explain how the self-wired basic circuits become motivated through four additional neural transmitters beyond glutamate and GABA - serotonin, dopamine, acetylcholine, and norepinephrine. I use finite automata for precise and rigorous analysis and optimality.