Terrence C Stewart and Chris Eliasmith. Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures. Behavioral and Brain Sciences, 2013. URL: http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8919013, doi:10.1017/S0140525X12003111.

@article {stewart2013a,
title = {Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures},
journal = {Behavioral and Brain Sciences},
year = {2013},
volume = {36},
issue = {3},
doi = {10.1017/S0140525X12003111},
abstract = {(Commentary) Quantum probability theory can be seen as a type of Vector Symbolic Architecture: 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.},
author = {Stewart, Terrence C and Eliasmith, Chris},
url = {http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8919013}
}