This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs.The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.
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Vendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. N° de réf. du vendeur OTV.012484815X.G
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Vendeur : Attic Books (ABAC, ILAB), London, ON, Canada
Hardcover. Etat : Very good +. Neural Nets: Foundations to Applications. xiv, 644 p. 24 cm. B&w illustrations. Small section in colour. Signature on front endpaper. Faint mark on front. N° de réf. du vendeur 149223
Quantité disponible : 1 disponible(s)