ABSTRACT
This paper presents a perspective on the theory of Quantum Neurodynamics (QND) that is complementary to that which has been described by Yasue, Jibu and Pribram. We describe a mathematical and computational model of cognitive processes in the form of a neural stochastic filter, i.e., a neural processor whose function is to transform the ensemble of past observations of a system of interest into estimates of the current probability density function for the state ofthat system. This neural stochastic filter employs the Schroedinger equation for the computation of the essential probability density function and this, in turn provides a model for cognitive phenomena at the behavioral scale. We conclude with a description of the implications of QND for the resolution of certain paradoxes of quantum mechanics.
