Previous papers have dev eloped a statistical mechanics of neocortical interactions (SMNI) fit to shortterm memory and EEG data. In both systems, Adaptive Simulated Annealing (ASA) was used for all fits to data, and path-integral codes were used for quantum systems. For both systems, a quantum systems code was developed, yielding the wav e-function (the absolute square of which is a probability). The mathematical-physics and computer parts of the study are successful: For the Neuroscience project, using the author’s closed-form derivation for a closed-form expression, three cases with Subjects after 1,000,000 visits to the cost function gav e: Subject-07 = 0.04, Subject-08 = 0.55, and Subject-09 = 1.00. All other 9 Subjects gav e 0. Similarly, for the Finance project, the mathematical-physics and computer parts of the study are successful: Using the author’s numerical code for any-dimensional path-integral, a 1-dimensional pathintegral is required for fitting the Implied Volatility. Ke ywords: path integral; quantum systems; supercomputer

Lester Ingber, based in Ashford, Oregon, holds a Ph.D. in physics from UC San Diego (1966). His research spans over 30 years, focusing on large-scale brain activities' impact on short-term memory and consciousness. Utilizing XSEDE resources, he explores multi-scale neocortical interactions and EEG processes, published in the Journal of Theoretical Biology.