Brain Theory From A Circuits And Systems Perspective How Electrical Science Explains Neurocircuits Neurosystems And Qubits

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Last edited by MARC Bot
September 16, 2024 | History

Brain Theory From A Circuits And Systems Perspective How Electrical Science Explains Neurocircuits Neurosystems And Qubits

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.

Publish Date
Pages
227

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Cover of: Brain Theory From A Circuits And Systems Perspective How Electrical Science Explains Neurocircuits Neurosystems And Qubits

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Book Details


Classifications

Library of Congress
QP363.3 .B8 2013, RC321-580

ID Numbers

Open Library
OL26184683M
ISBN 13
9781461464112
LCCN
2013931948

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 16, 2024 Edited by MARC Bot import existing book
February 26, 2022 Edited by ImportBot import existing book
November 12, 2020 Edited by MARC Bot import existing book
October 19, 2016 Edited by Mek Added new cover
October 19, 2016 Created by Mek Added new book.