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020 _a9788132237037
_9978-81-322-3703-7
024 7 _a10.1007/978-81-322-3703-7
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
245 1 0 _aAdvances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
_h[electronic resource] /
_cedited by Manan Suri.
250 _a1st ed. 2017.
264 1 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2017.
300 _aXIII, 210 p. 123 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Systems Monographs,
_x1867-4933 ;
_v31
505 0 _aPhase Change Memory for Neuromorphics -- Filamentary resistive memory for Neuromorphics -- Metal oxide based memory for Neuromorphics -- Nano Organic Transistors for Neuromorphics -- Neuromorphic System design -- Neuromorphic System and algorithms optimization -- Memristor Technology for Neuromorphics -- PCMO based devices for Neuromorphics -- Resistive Memory for Neuromorphics -- Overall Perspective on Neuromorphic Hardware.
520 _aThis book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.
650 0 _aElectronic circuits.
_919581
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aComputational intelligence.
_97716
650 0 _aMicrotechnology.
_928219
650 0 _aMicroelectromechanical systems.
_96063
650 1 4 _aElectronic Circuits and Systems.
_957992
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aMicrosystems and MEMS.
_957993
700 1 _aSuri, Manan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_957994
710 2 _aSpringerLink (Online service)
_957995
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9788132237013
776 0 8 _iPrinted edition:
_z9788132237020
776 0 8 _iPrinted edition:
_z9788132238904
830 0 _aCognitive Systems Monographs,
_x1867-4933 ;
_v31
_957996
856 4 0 _uhttps://doi.org/10.1007/978-81-322-3703-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80053
_d80053