The Brain: Fuzzy Arithmetic to Quantum Computing / Studies in Fuzziness and Soft Computing Bd.165 (PDF)
"The Brain- From Fuzzy Arithmetic to Quantum Computing" presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft...
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"The Brain- From Fuzzy Arithmetic to Quantum Computing" presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft Computing, Quantum Theory, and recent developments in mathematics the actual knowledge about the brain functioning is formalized into a coherent theoretical framework. This monograph develops new and powerful neural models providing formal descriptions of biochemical transactions in the brain to guide neuroscience experiments and to better interpret their results. This book demonstrates how the physiology of the neuron can be understood based on the fundamentals of fuzzy formal languages and introduces the basics of quantum computation and quantum information to the brain. It discusses how molecular transactions at the cellular level implement such concepts, shows how certain neural structures, like the dendritic spine, are specialized to function as quantum computing devices and demonstrates how the brain can be viewed as a quantum processing intelligent system.
- Autoren: Armando Freitas Rocha , Eduardo Massad , Alfredo Pereira
- 2006, 2005, 228 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3540323570
- ISBN-13: 9783540323570
- Erscheinungsdatum: 23.06.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 99 MB
- Mit Kopierschutz
- Vorlesefunktion
From the reviews:
"This textbook on brain neurology considers, besides fuzzy grammars, fuzzy languages and classical information processing, also quantum information and computation as well to be essential to explain the brain as an intelligent processing system. … is highly interesting and readable." (K.-E. Hellwig, Zentralblatt MATH, Vol. 1135 (13), 2008)
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