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Title: The protonic brain: engineering a simple brain emulator and investigating physical mechanisms in non-local communication
Authors: Rouleau, Nicolas
Keywords: protonic brain;brain function;brain structure;non- local communication;non-local transfer of data;QEEG
Issue Date: 20-Jul-2015
Publisher: Laurentian University of Sudbury
Abstract: The brain is not entirely as it has been described in the classic neuroscientific literature. Physical and chemical properties of brain function can be separated from classical brain structure, allowing for multiple realizations of memory processing and the expression of correlates of consciousness. Further, the brain can be described as energy or information separate from although related to the organic structure which is perhaps subject to technologies which facilitate non-local transfer of data. Chapter 1 introduces the subject and provides sufficient information to explore the major concepts outlined in later sections. Chapter 2 outlines an experimental demonstration of electrophysiological activity in an abiological material which strongly correlates with human quantitative electroencephalographic (QEEG) frequency spectra under specified geometrical and chemical constraints. In Chapter 3, results indicate that this same amorphous material can effectively store and release information when classically conditioned, indicating learning and network formation can be separated from cells proper. Chapter 4 presents a technology which can effectively link two simple chemical systems such that equal and opposite reactions are induced at locus A upon elicitation of a given event within locus B. Chapter 5 provides a systematic analysis of the electromagnetic field dynamics associated with the aforementioned technology, providing both experimental and theoretical grounding. Chapter 6 is a general discussion which links these concepts and provides a summary of the works as they relate to the protonic brain.
Appears in Collections:Master's Theses
Psychology / Psychologie - Master's theses

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