Brain Theory From A Circuits And Systems Perspective [electronic resource] : How Electrical Science Explains Neuro-circuits, Neuro-systems, and Qubits / by John Robert Burger.

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.

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.