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020 _a9789819744459
_9978-981-97-4445-9
024 7 _a10.1007/978-981-97-4445-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
100 1 _aBhowmik, Debanjan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980737
245 1 0 _aSpintronics-Based Neuromorphic Computing
_h[electronic resource] /
_cby Debanjan Bhowmik.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXV, 126 p. 64 illus., 56 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Tracts in Electrical and Electronics Engineering,
_x2731-4219
505 0 _aWhy 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 _aThe 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.
650 0 _aArtificial intelligence.
_958441
650 0 _aControl engineering.
650 0 _aRobotics.
_959148
650 0 _aAutomation.
_959149
650 0 _aSpintronics.
_980738
650 0 _aNeural networks (Computer science) .
_964231
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aControl, Robotics, Automation.
650 2 4 _aSpintronics.
_980738
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_965860
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819744442
776 0 8 _iPrinted edition:
_z9789819744466
776 0 8 _iPrinted edition:
_z9789819744473
830 0 _aSpringer Tracts in Electrical and Electronics Engineering,
_x2731-4219
_966106
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4445-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
999 _c61674
_d61674