Brain Theory From A Circuits And Systems Perspective

This book examines proposals involving electron tunneling between synapses, and quantum computations within neurons. It features clear explanations of neural pulses with reference to physical circuitry.

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.

Includes clear explanations of neural pulses with reference to physical circuitry Easy exercises are provided at the ends of each chapter for serious readers who want to really understand the material being offered Educationally valuable laboratory experiments in the form of simulations of neural properties are offered in an appendix High level relevance to artificial intelligence and robotics? Includes supplementary material: sn.pub/extras

Klappentext

Brain Theory From A Circuits And Systems Perspective**** offers a theory of human consciousness as a natural result of pulsating neurons and synapses within a complex circuit. The book summarizes the electrical, as opposed to the chemical, nature of a brain, and so moves away from customary molecular biology- and biochemistry-focused explanations for consciousness.

The book **** goes beyond the usual structures of artificial neural networks; employing first principles, a particular physical system is synthesized for conscious short term memory, as well as for associative (subconsciously edited) long term memory. It pursues the search for deeper computational power: Where ordinary concepts of logic fail to explain inspired choices concerning artistic appraisal, truth judgment, and understanding, pulsating qubit logic unleashes a fresh avenue for connectivity.

Neuroquantology is discussed, including electron tunneling as a regulator of neural actions, and proposed quantum computing within microtubules. This thought provoking work led the author to reveal neurons with qubit properties, or simulated qubits. Simulated qubits do not require a coherent quantum system, and so remain robust for massively parallel controlled toggling and probabilistic computations.

Brain Theory From A Circuits And Systems Perspective is supported with physical circuit examples, end-of-chapter exercises, and neuron simulation experiments, and will be valuable to anyone interested in neuro-circuits, neuro-systems and qubits.

Inhalt

Preface.- 1. Brain Structure.- 2. Brain Architecture For An Intelligent Stream Of Consciousness.- 3. Circuit Elements Required For Neural Systems.- 4. Long Term Memory, Simulated Qubits, Physical Qubits.- 5. Outline of a Cue Editor.- 6. Plans For A Recall Referee.- 7. Arithmetic Using Simulated Qubits.- 8. Long Term Memory Neural Circuits, Fast And Precise.- 9. Neuroquantology, The Ultimate Quest.- 10. The Phase Of The "1".- Post Script.- Appendix 1.- Appendix 2.- Listing Of Sample WinSpice Code.