Computational Paradigms for Mental Health

Computational Paradigms for Mental Health

Three Unconventional Computational Paradigms

My recent work has uncovered at least three general unconventional computational paradigms within which parallel algorithms lead to a superlinear improvement in performance (that is, speed and quality) with respect to their sequential counterparts. These paradigms, described in some detail below, are: computing in real time, computing within the bounds of laws of nature, and computing subject t...

Paradigms for computational nucleic acid design.

The design of DNA and RNA sequences is critical for many endeavors, from DNA nanotechnology, to PCR-based applications, to DNA hybridization arrays. Results in the literature rely on a wide variety of design criteria adapted to the particular requirements of each application. Using an extensively studied thermodynamic model, we perform a detailed study of several criteria for designing sequence...

Computational psychophysiology based research methodology for mental health

Computational psychophysiology is a new direction that broadens the field of psychophysiology by allowing for the identification and integration of multimodal signals to test specific models of mental states and psychological processes. Additionally, such approaches allows for the extraction of multiple signals from large-scale multidimensional data, with a greater ability to differentiate sign...

Passionflower and Sage for Mental Health

Herbal medicines include a range of pharmacologically active compounds: in some cases it is not well understood which ingredients are important for a therapeutic effect. The supporters of herbal medicine believe that isolated ingredients in the majority of cases have weaker clinical effects than whole plant extract, a claim that would obviously require proof in each case. Generalizations about ...