Neuron Circuits Electronic Circuits And Self Consciousness

A unique and fascinating scientific detective story that traces the origins as well as the complex mechanisms of human self-consciousness.

The study of self-consciousness helps humans understand themselves and restores their identities. But self-consciousness has been a mystery since the beginning of history, and this mystery cannot be resolved by conventional natural science. In Self-Consciousness, author Masakazu Shoji takes the mystery out of self-consciousness by proposing the idea that the human brain and body are a biological machine. A former VLSI microprocessor designer and semiconductor physicist, Shoji was guided by the ideas of ancient sages to create a conceptual design of a human machine brain model. He explains how it works, how it senses itself and the outside world, and how the machine creates the sense of existence of the subject SELF to itself, just as a living human brain does. A follow-up to Shoji’s previous book, Neuron Circuits, Electronic Circuits, and Self-Consciousness, this new volume examines self-consciousness from three unconventional viewpoints to present a complex theory of the mind and how self-consciousness develops.

This book models an idealized neuron as being driven by basic electrical elements, the goal being to systematically characterize the logical properties of neural pulses. In order to constitute a system, neurons as pulsating devices may be represented using novel circuit elements as delineated in this book. A plausible brain system is implied by the delineated elements and logically follows from known and likely properties of a neuron. New to electrical science are novel pulse-related circuit elements involving recursive neurons. A recursive neuron, when properly excited, produces a self-sustaining pulse train that when sampled, provides a true output with a specified probability, and a false output with complementary probability. Because of its similarity to the qubits of quantum mechanics, the recursive pulsating neuron is termed a simulated qubit. Recursive neurons easily function as controlled toggle devices and so are capable of massively parallel calculations, this being a new dimension in brain functioning as described in this book. Simulated qubits and their possibilities are compared to the qubits of quantum physics. Included in the book are suggested neural circuits for associative memory search via a randomized process of cue selection, and neural circuits for priority calculations. These serve to select returns from long term memory, which in turn determines one's next conscious thought or action based on past memorized experiences. The book reports on proposals involving electron tunneling between synapses, and quantum computations within neurons. Although not a textbook, there are easy exercises at the ends of chapters, and in the appendix there are twelve simulation experiments concerning neurons. ​

A summary of author Masakazu Shoji’s previous works, Self-Consciousness: Human Brain as Data Processor, explains self-consciousness by using a simple, mechanical model of the human brain, which reflects its past development of evolution by natural selection. The model was built from the information acquired from the unbiased, introspective observation of Shoji’s own mind and other rational assumptions. In this study, geared for those with a background in the research and science of psychology, Shoji introduces a new approach based on systems and information science; it relies on the synthetic method of study by designing the human brain’s functional model. It deals with the self-conscious directly, without adding in subconsciousness or quantum mystery, as has been done previously. The model was designed realistically using hardware built with genetic instructions, using neurons as the elements of digital and analog operations. Shoji shares that versions of this model reveal how humans acquire and store memories of images of the outside objects, sense the images internally, execute necessary actions directed by the images, feel an emotional state by facing life’s events, and develop intelligence by accumulated experiences. The model also explains mysterious mental experiences, such as seeing dreams, daydreams, phantoms, ghosts, and feeling premonitions.

This book focuses on the research and development in the field of self-aware robots. Its theme is artificial consciousness, a field that covers both artificial intelligence and robotics, and includes philosophy, psychology, the study of biological evolution, physiology, and medicine, especially brain neuroscience and neuropsychiatry. Building on the first edition, Creation of a Conscious Robot: Mirror Image Cognition and Self-Awareness, this new edition discusses artificial neural networks and functions of human consciousness. It proposes a structure for a neural network with consciousness functions, explains the construction of a conscious system, and discusses the results of progressive research in designing and developing small robots with conscious systems capable of recognizing their own images in mirrors. Emphasizing the contributions of conscious robots to society and their potential future impact, the book also describes the robots that know the unknown, Pavlovian robots, and the development of a consciousness model possessing the well-known multiple personality disorder.

This book examines the digital transformation of identity in the age of artificial intelligence. It articulates the nature of identity of human beings, based on cutting-edge knowledge in the field of AI and big-data sciences, and discusses identity by drawing on comprehensive investigations in digital social sciences and exploring wider disciplines related to philosophy, ethics, sociology, STS, computer sciences, engineering, and medical sciences. Reviewing contemporary conditions proliferated by advanced technological trends and unveiling social mechanisms of human identity, this book appeals to undergraduate and graduate students as well as academic researchers.

The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.

Present-day computers lack well-defined functions to accept various kinds of sensual information such as vision, hearing, and smelling (binding problem). Computers also lack any well-defined mechanisms to coordinate various behaviors in the presence of an object (conscious mechanism). This book serves as a breakthrough that opens a new world. Using the ideas presented in the book, computer systems can be developed to conduct conscious activities like human beings. Human beings will be able to develop mechanisms in which machines will have their own feelings, will behave according to their own consciousness, and will continue to learn for their betterment.