About this book
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.
- Book Title Brain Theory From A Circuits And Systems Perspective
- Book Subtitle How Electrical Science Explains Neuro-circuits, Neuro-systems, and Qubits
- Series Title Springer Series in Cognitive and Neural Systems
- Series Abbreviated Title Springer Ser.Cognitive,Neural Syst.
- DOI https://doi.org/10.1007/978-1-4614-6412-9
- Copyright Information Springer Science+Business Media New York 2013
- Publisher Name Springer, New York, NY
- eBook Packages Biomedical and Life Sciences Biomedical and Life Sciences (R0)
- Hardcover ISBN 978-1-4614-6411-2
- Softcover ISBN 978-1-4899-8986-4
- eBook ISBN 978-1-4614-6412-9
- Edition Number 1
- Number of Pages XVI, 227
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Circuits and Systems
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