Brain theory from a circuits and systems perspective how electrical science explains neuro-circuits, neuro-systems, 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 bi...
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Springer series in cognitive and neural systems ;
v.6 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-1-4614-6412-9 |
Summary: |
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. |
Carrier Form: | 1 online resource (xvi, 227 p.) : ill. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781461464129 (electronic bk.) 1461464129 (electronic bk.) |
Index Number: | QP363 |
CLC: | R338.2 |