A Theory of Consciousness Founded on Neurons That Behave Like Qubits

TL;DR

This paper hypothesizes that neurons with qubit-like properties, which connect recursively and synchronize across memory types, underpin consciousness, enabling probabilistic memory association and reversible computations for advanced cognitive functions.

Contribution

It introduces a novel theory linking quantum-like neuron behavior to consciousness, proposing a new framework for understanding neural computation.

Findings

Neurons exhibit qubit-like probabilistic states.

Qubit properties facilitate memory association and reversible computations.

Potential explanation for complex cognitive abilities.

Abstract

This paper presents a hypothesis that consciousness is a natural result of neurons that become connected recursively, and work synchronously between short and long term memories. Such neurons demonstrate qubit-like properties, each supporting a probabilistic combination of true and false at a given phase. Advantages of qubits include probabilistic modifications of cues for searching associations in long term memory, and controlled toggling for parallel, reversible computations to prioritize multiple recalls and to facilitate mathematical abilities.