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010   $a81-322-3703-X
024 7 $a10.1007/978-81-322-3703-7
035   $a(CKB)3710000001033217
035   $a(DE-He213)978-81-322-3703-7
035   $a(MiAaPQ)EBC4790542
035   $a(PPN)198342462
035   $a(EXLCZ)993710000001033217
100   $a20170123d2017      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices$b[electronic resource] /$fedited by Manan Suri
205   $a1st ed. 2017.
210  1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2017.
215   $a1 online resource (xiii, 210 p.) $c123 illus
225 1 $aCognitive Systems Monographs,$x1867-4925 ;$v31
311 08$a81-322-3701-3 
320   $aIncludes bibliographical references.
327   $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.
330   $aThis book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.
410  0$aCognitive Systems Monographs,$x1867-4925 ;$v31
606   $aElectronic circuits
606   $aUser interfaces (Computer systems)
606   $aComputational intelligence
606   $aNanotechnology
606   $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068
606   $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aNanotechnology and Microengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T18000
615  0$aElectronic circuits.
615  0$aUser interfaces (Computer systems).
615  0$aComputational intelligence.
615  0$aNanotechnology.
615 14$aCircuits and Systems.
615 24$aUser Interfaces and Human Computer Interaction.
615 24$aComputational Intelligence.
615 24$aNanotechnology and Microengineering.
676   $a621.3815
702   $aSuri$b Manan$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910163119503321
996   $aAdvances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices$92126476
997   $aUNINA