Pattern recognition of subconscious underpinnings of cognition using ultrametric topological mapping of thinking and memory

The author reviews the theory and practice of determining what parts of a data set are ultrametric. He describes the potential relevance of ultrametric topology as a framework for unconscious thought processes. This view of ultrametric topology as a framework that complements metric-based, conscious, Aristotelian logical reasoning comes from the work of the Chilean psychoanalyst, Ignacio Matte Blanco. Taking text data, the author develops an algorithm for finding local ultrametricity in such data. He applies that in two case studies. The first relates to a large set of dream reports, and therefore can possibly recall traces of unconscious thought processes. The second case study uses Twitter social media, and has the aim of picking up underlying associations. The author's case studies are selective in regard to names of people and objects, and are focused in order to highlight the principle of his approach, which is one of particular pattern finding in textual data. (Guest editor of Special Issue on Computational Psychoanalysis.

Modes of delivering psychotherapy : Investigating technology

The ubiquity of telecommunications technologies and the internet facilitates offering different mental health services to the public, and the ongoing advancement in technologies introduces new venues to a range of psychotherapeutic services. It is critical to all clinicians and professionals in information and communications technology to have a clear understanding of the opportunities and challenges of these technologies. This article outlines the technologies that are currently used as part of psychotherapy. In particular, the paper discusses some of the current state of clinical research, advantageous and disadvantageous that relate to the use of these technologies