A Consilience Of Natural And Social Sciences - A Memoir Of Original Contributions [Paperback]

This volume presents a series of original theories formulated over Dr. Henry Kellerman's more than 50 year career first as psychologist, then as psychoanalyst. These are theories reflecting phenomena both in the natural as well as social sciences. They are foundational theories, several of which were published in scientific and clinical journals, as well as in books. The seven theories formulated and presented here are: 1) The entire nightmare domain as it relates to dreaming and to the various facets of emotion and personality; a formulation able to account for all possible nightmare contents with respect to only a few named basic nightmare categories. 2) The transformation of the apparent circular shape of the micro-group (the therapy group) into its actual physical (hidden) shape. This assumes that an ideal group composition based upon an arrangement of ideal or basic diagnostic forces (and basic emotions). 3) Primary emotion-correlates to DNA constituents: a DNA double helical model for primary emotions that corresponds to the physical DNA model; that is, proposing which primary emotions may be inherent in which DNA constituents. 4) The psychoanalysis of symptoms: revealing a four-step symptom-code that within a systematic talking procedure demonstrates how any symptom within a distinct class of emotional/psychological symptoms, can be understood and unraveled  cured. 5) Parkinson's disease: implications of the prosody of speechspecifically, the role of 'vocal resonance,' with a focus on vibration, in the appearance and treatment of initial Parkinsonian symptoms. 6) The discovery of God: A psycho/evolutionary perspective in which God is seen as discovered by virtue of a hard-wired genetic program defined not as a God-wired genetics, but rather as a hard-wired need for security, balance, peace of mind, the expectation of fairness, and a sense of empowerment. 7) Revealing the code to understand unconscious communication (its algorithm) and identifying the speclÃ?