Spintronics-Based Neuromorphic Computing (Record no. 88580)

000 -LEADER
fixed length control field 03582nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-981-97-4445-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172824.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240716s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819744459
-- 978-981-97-4445-9
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Bhowmik, Debanjan.
245 10 - TITLE STATEMENT
Title Spintronics-Based Neuromorphic Computing
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 126 p. 64 illus., 56 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Tracts in Electrical and Electronics Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Why Spintronics-Based Neuromorphic Computing? -- Introduction to Nanomagnetism and Spintronics -- Introduction to Computing -- Introduction to Neural Networks -- Ferromagnetic Domain-Wall Devices as Synapses and Neurons -- Design of Non-Spiking Neural Networks with Domain-Wall Devices -- Design of Spiking Neural Networks with Domain-Wall Devices -- Spintronic Oscillators and Their Synchronization Properties -- Neuromorphic Computing using Spintronic Oscillators -- Neural Networks and Probabilistic Computing Through Stochastic Magnetic Switching.
520 ## - SUMMARY, ETC.
Summary, etc The book discusses almost all aspects of spintronics-based neuromorphic computing, starting from a very basic level, and will be of interest to both spintronics and neuromorphic computing communities. The chapters also cover most simulation and experimental studies reported recently by various researchers across the world on this topic. The book includes an introductory chapter on nanomagnetism and spin physics and another one on neural network algorithms (covering both the machine-learning and neuroscience aspects of these algorithms). These introductory chapters will help the readers build their background and truly appreciate the recent research results on spintronics-based neuromorphic computing, presented in the later chapters of the book. Various numerical simulation exercises are also provided in the book.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-97-4445-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Spintronics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science) .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control, Robotics, Automation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Spintronics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Models of Cognitive Processes and Neural Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2731-4219
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-- ZDB-2-SCS
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-- ZDB-2-SXCS

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