Abstract

The scientific relationship among self, mind and brain is still not clearly known. Self’s subjective experience of perception and cognition of words, feelings, thoughts etc. is supported by the integrity of human brain. Consequently, neuroscientists, psychologists, psychiatrists, physicists and philosophers have been investigating to find the scientific relationship between mind and brain, consciousness and quantum physics. Recent experimental evidence suggests that the neural correlate of consciousness is located in certain parts of the cortico-thalamic system. But it is not known specifically which parts of the human brain are involved in the human cognitive activity. In this study, the author proposed a tree-pattern architecture of the cerebral neural substrate in cognitive understanding of words, feelings, and thoughts on the basis of the author’s hypothesis of the ultron-logotron theory to explain the neural correlate of consciousness.

Highlights

  • The relationship among self, mind and brain in humans is not clearly known

  • Recent experimental evidence suggests that the neural correlate of consciousness (NCC) is likely to be located in certain parts of the cortico-thalamic system

  • Noxious thermal stimuli, administered to the dorsum of left hand of seven volunteers, eliciting pain, produced a typical matrix of pain-related brain activity indicated by BOLD responses in multiple brain areas, regions of interest (ROIs)

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Summary

Introduction

The relationship among self, mind and brain in humans is not clearly known. Self’s subjective experience of perception and cognition is supported by the integrity of human brain (Tononi et al, 2016). Chung find the scientific relationship between mind and brain, consciousness and quantum physics. Recent experimental evidence suggests that the neural correlate of consciousness (NCC) is likely to be located in certain parts of the cortico-thalamic system. It is not known which cortical areas, layers or neural populations are involved (Tononi, 2012; Tononi et al, 2016; Molina et al, 2017)

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