Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits
Author:   Dorian Florescu
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319570808


Pages:   139
Publication Date:   03 May 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits


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Author:   Dorian Florescu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   3.613kg
ISBN:  

9783319570808


ISBN 10:   3319570803
Pages:   139
Publication Date:   03 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Nomenclature.- Acronyms.- 1 Introduction.- 2 Time Encoding and Decoding in Bandlimited and Shift-Invariant Spaces.- 3 A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate and-Fire Neurons.- 4 A Novel Reconstruction Framework in Shift-Invariant Spaces for Signals Encoded with Integrate-and-Fire Neurons.- 5 A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data.- 6 A New Method for Implementing Linear Filters in the Spike Domain.- 7 Conclusions and Future Work.- Bibliography.

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Author Information

Dr Dorian Florescu is currently a Postdoctoral Research Fellow in the Department of Automatic Control and Systems Engineering at the University of Sheffield, working on the ‘Digital Fruit Fly Brain’ project, funded jointly by BBSRC and the National Science Foundation. He was awarded the BEng degree in Systems Engineering from the Technical University of Iasi, Romania, in 2011 and the PhD degree in Automatic Control & Systems Engineering from the University of Sheffield

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