Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures.

Abstract

Quantum probability (QP) theory can be seen as a type of vector symbolic architecture (VSA): mental states are vectors storing structured information and manipulated using algebraic operations. Furthermore, the operations needed by QP match those in other VSAs. This allows existing biologically realistic neural models to be adapted to provide a mechanistic explanation of the cognitive phenomena described in the target article by Pothos & Busemeyer (P&B).

DOI: 10.1017/S0140525X12003111

Cite this paper

@article{Stewart2013RealisticNC, title={Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures.}, author={Terrence C. Stewart and Chris Eliasmith}, journal={The Behavioral and brain sciences}, year={2013}, volume={36 3}, pages={307-8} }