An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain: Cambridge Studies in Mathematical Biology, cartea 6
Autor Frank C. Hoppensteadten Limba Engleză Paperback – 27 iun 1997
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Specificații
ISBN-13: 9780521599290
ISBN-10: 0521599296
Pagini: 232
Ilustrații: 69 b/w illus. 1 table
Dimensiuni: 153 x 229 x 15 mm
Greutate: 0.32 kg
Ediția:Revizuită
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Studies in Mathematical Biology
Locul publicării:New York, United States
ISBN-10: 0521599296
Pagini: 232
Ilustrații: 69 b/w illus. 1 table
Dimensiuni: 153 x 229 x 15 mm
Greutate: 0.32 kg
Ediția:Revizuită
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Studies in Mathematical Biology
Locul publicării:New York, United States
Cuprins
Preface; 1. Some useful electrical circuits; 2. A theory of simple clocks; 3. Some mathematical models of neurons; 4. Signal processing in phase-locked systems; 5. Small physiological control networks; 6. Memory, phase change, and synchronization; 7. Attention and other brain phenomena; Appendices; References; Index.
Recenzii
"The author undoubtedly has a strong and thorough knowledge of both mathematics and neurosciences which allows him to put the reader on what he calls 'the launching point'...an excellent door that opens the researcher to further exploration of the mysteries of the brain. I conclude this review by repeating what is at the end of this very well written book: 'Mathematics is needed to understand how the brain works.'" Catherine Garcia-Reimbert
"...a brief and nice introduction to the mathematical methods and models used in the theory of neural networks and their applications." Monatshefte fur Mathematik
"...a brief and nice introduction to the mathematical methods and models used in the theory of neural networks and their applications." Monatshefte fur Mathematik
Descriere
Describes signal processing aspects of neural networks and their applications. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.