Another Look at Quantum Neural Computing

TL;DR

This paper explores the concept of quantum neural computing, examining how the brain's learning modes and behaviors may relate to quantum properties, and discusses the potential dualities in brain function.

Contribution

It revisits the quantum neural computing concept and introduces new arguments on brain learning modes, linking reorganizational behavior to quantum system-level properties.

Findings

Associative and reorganizational learning modes are supported by experimental evidence.

The brain's reorganizational behavior may reflect underlying quantum properties.

Higher brain abstractions might also exhibit quantum-like characteristics.

Abstract

The term quantum neural computing indicates a unity in the functioning of the brain. It assumes that the neural structures perform classical processing and that the virtual particles associated with the dynamical states of the structures define the underlying quantum state. We revisit the concept and also summarize new arguments related to the learning modes of the brain in response to sensory input that may be aggregated in three types: associative, reorganizational, and quantum. The associative and reorganizational types are quite apparent based on experimental findings; it is much harder to establish that the brain as an entity exhibits quantum properties. We argue that the reorganizational behavior of the brain may be viewed as inner adjustment corresponding to its quantum behavior at the system level. Not only neural structures but their higher abstractions also may be seen as whole entities. We consider the dualities associated with the behavior of the brain and how these dualities are bridged.