Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems (Record no. 3017211)

MARC details
000 -LEADER
fixed length control field 04259naaaa2200721uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/76881
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714193032.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-1733-9
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036517346
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036517339
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-1733-9
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KNB
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cho, Seongjae
Relator code edt
9 (RLIN) 1618492
245 10 - TITLE STATEMENT
Title Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Basel, Switzerland
Name of publisher, distributor, etc MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (81 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc This book aims to convey the most recent progress in hardware-driven neuromorphic systems based on semiconductor memory technologies. Machine learning systems and various types of artificial neural networks to realize the learning process have mainly focused on software technologies. Tremendous advances have been made, particularly in the area of data inference and recognition, in which humans have great superiority compared to conventional computers. In order to more effectively mimic our way of thinking in a further hardware sense, more synapse-like components in terms of integration density, completeness in realizing biological synaptic behaviors, and most importantly, energy-efficient operation capability, should be prepared. For higher resemblance with the biological nervous system, future developments ought to take power consumption into account and foster revolutions at the device level, which can be realized by memory technologies. This book consists of seven articles in which most recent research findings on neuromorphic systems are reported in the highlights of various memory devices and architectures. Synaptic devices and their behaviors, many-core neuromorphic platforms in close relation with memory, novel materials enabling the low-power synaptic operations based on memory devices are studied, along with evaluations and applications. Some of them can be practically realized due to high Si processing and structure compatibility with contemporary semiconductor memory technologies in production, which provides perspectives of neuromorphic chips for mass production.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- https://creativecommons.org/licenses/by/4.0/
-- cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology: general issues
Source of heading or term bicssc
9 (RLIN) 928609
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Energy industries & utilities
Source of heading or term bicssc
9 (RLIN) 88117
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Uncontrolled term leaky integrate-and-fire neuron
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Uncontrolled term vanadium dioxide
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Uncontrolled term neural network
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Uncontrolled term pattern recognition
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Uncontrolled term a-IGZO memristor
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Uncontrolled term Schottky barrier tunneling
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Uncontrolled term non filamentary resistive switching
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Uncontrolled term gradual and abrupt modulation
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Uncontrolled term bimodal distribution of effective Schottky barrier height
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Uncontrolled term ionized oxygen vacancy
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Uncontrolled term energy consumption
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Uncontrolled term hardware-based neuromorphic system
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Uncontrolled term synaptic device
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Uncontrolled term Si processing compatibility
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Uncontrolled term TCAD device simulation
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Uncontrolled term benchmarking neuromorphic HW
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Uncontrolled term neuromorphic platform
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Uncontrolled term spiNNaker
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Uncontrolled term spinMPI
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Uncontrolled term MPI for neuromorphic HW
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Uncontrolled term Boyer-Moore
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Uncontrolled term DNA matching algorithm
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Uncontrolled term flexible electronics
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Uncontrolled term neuromorphic engineering
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Uncontrolled term organic field-effect transistors
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Uncontrolled term synaptic devices
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Uncontrolled term short-term plasticity
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Uncontrolled term neuromorphic system
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Uncontrolled term on-chip learning
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Uncontrolled term overlapping pattern issue
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Uncontrolled term spiking neural network
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Uncontrolled term 3-D neuromorphic system
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Uncontrolled term 3-D stacked synapse array
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Uncontrolled term charge-trap flash synapse
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cho, Seongjae
Relator code oth
9 (RLIN) 1618492
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/4351">https://mdpi.com/books/pdfview/book/4351</a>
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Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/76881">https://directory.doabooks.org/handle/20.500.12854/76881</a>
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Public note DOAB: description of the publication
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