Introduction to computational neurobiology and clustering / Brunello Tirozzi, Daniela Bianchi, Enrico Ferraro.

SeriesSeries on advances in mathematics for applied sciences ; v. 73
Series on advances in mathematics for applied sciences ; v. 73. ^A872269
Contents Neurobiological models -- RC circuit, spiking times, and interspike interval -- Calculation of interspike intervals for deterministic inputs -- The Fitzhugh-Nagumo and Hodgkin-Huxley models -- Definition and simulation of the main random variables -- Simulation of the neuron dynamics in interaction with a complex network -- Clustering -- An introduction to clustering techniques and self-organizing algorithms -- Clustering and classification algorithms applied to protein sequences, structures, and functions.
Bibliography noteIncludes bibliographical references (p. 219-223) and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2011499212
ISBN9789812705396 (hbk.)
ISBN9812705392 (hbk.)
ISBN9812771271
ISBN9789812771278

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