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Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits (Hardcover, 1st ed. 2017) Loot Price: R3,314
Discovery Miles 33 140
Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits (Hardcover, 1st ed. 2017): Dorian Florescu

Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits (Hardcover, 1st ed. 2017)

Dorian Florescu

Series: Springer Theses

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Loot Price R3,314 Discovery Miles 33 140 | Repayment Terms: R311 pm x 12*

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This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: May 2017
First published: 2017
Authors: Dorian Florescu
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Hardcover
Pages: 139
Edition: 1st ed. 2017
ISBN-13: 978-3-319-57080-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-57080-3
Barcode: 9783319570808

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