JPWO2021171480A1 - - Google Patents

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Publication number
JPWO2021171480A1
JPWO2021171480A1 JP2020566305A JP2020566305A JPWO2021171480A1 JP WO2021171480 A1 JPWO2021171480 A1 JP WO2021171480A1 JP 2020566305 A JP2020566305 A JP 2020566305A JP 2020566305 A JP2020566305 A JP 2020566305A JP WO2021171480 A1 JPWO2021171480 A1 JP WO2021171480A1
Authority
JP
Japan
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2020566305A
Other versions
JP6841393B1 (ja
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Publication of JP6841393B1 publication Critical patent/JP6841393B1/ja
Publication of JPWO2021171480A1 publication Critical patent/JPWO2021171480A1/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06GANALOGUE COMPUTERS
    • G06G7/00Devices in which the computing operation is performed by varying electric or magnetic quantities
    • G06G7/48Analogue computers for specific processes, systems or devices, e.g. simulators
    • G06G7/60Analogue computers for specific processes, systems or devices, e.g. simulators for living beings, e.g. their nervous systems ; for problems in the medical field
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/049Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/544Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation
    • G06F7/5443Sum of products
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/065Analogue means
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/02Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components specially adapted for rectifying, oscillating, amplifying or switching and having potential barriers; including integrated passive circuit elements having potential barriers
    • H01L27/04Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components specially adapted for rectifying, oscillating, amplifying or switching and having potential barriers; including integrated passive circuit elements having potential barriers the substrate being a semiconductor body
    • H01L27/10Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components specially adapted for rectifying, oscillating, amplifying or switching and having potential barriers; including integrated passive circuit elements having potential barriers the substrate being a semiconductor body including a plurality of individual components in a repetitive configuration
    • H01L27/105Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components specially adapted for rectifying, oscillating, amplifying or switching and having potential barriers; including integrated passive circuit elements having potential barriers the substrate being a semiconductor body including a plurality of individual components in a repetitive configuration including field-effect components
    • HELECTRICITY
    • H10SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10BELECTRONIC MEMORY DEVICES
    • H10B99/00Subject matter not provided for in other groups of this subclass
    • HELECTRICITY
    • H10SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10NELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N70/00Solid-state devices having no potential barriers, and specially adapted for rectifying, amplifying, oscillating or switching

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Neurology (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Power Engineering (AREA)
  • Neurosurgery (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Physiology (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Hall/Mr Elements (AREA)
  • Mram Or Spin Memory Techniques (AREA)
  • Semiconductor Memories (AREA)
JP2020566305A 2020-02-27 2020-02-27 演算回路及びニューロモーフィックデバイス Active JP6841393B1 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/008025 WO2021171480A1 (ja) 2020-02-27 2020-02-27 演算回路及びニューロモーフィックデバイス

Publications (2)

Publication Number Publication Date
JP6841393B1 JP6841393B1 (ja) 2021-03-10
JPWO2021171480A1 true JPWO2021171480A1 (ja) 2021-09-02

Family

ID=74845336

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020566305A Active JP6841393B1 (ja) 2020-02-27 2020-02-27 演算回路及びニューロモーフィックデバイス

Country Status (4)

Country Link
US (1) US20220261559A1 (ja)
JP (1) JP6841393B1 (ja)
CN (1) CN114127970A (ja)
WO (1) WO2021171480A1 (ja)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240074323A1 (en) * 2021-01-12 2024-02-29 Tdk Corporation Magnetic array, magnetic array control method, and magnetic array control program
KR20230012882A (ko) * 2021-07-16 2023-01-26 삼성전자주식회사 자기 저항체를 포함하는 프로세싱 장치
KR20230053976A (ko) * 2021-10-15 2023-04-24 삼성전자주식회사 뉴로모픽 메모리 회로 및 그 동작 방법

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5160304B2 (ja) * 2008-05-22 2013-03-13 シャープ株式会社 抵抗変化型可変抵抗素子を備えた積演算装置、及び積和演算装置、これらの装置を各ニューロン素子に備えるニューラルネットワーク、並びに積演算方法
CN103460220A (zh) * 2012-01-23 2013-12-18 松下电器产业株式会社 神经网络电路的学习方法
JP6501146B2 (ja) * 2014-03-18 2019-04-17 パナソニックIpマネジメント株式会社 ニューラルネットワーク回路およびその学習方法
US9842646B2 (en) * 2015-04-28 2017-12-12 Hewlett Packard Enterprise Development Lp Memristor apparatus with variable transmission delay
WO2019189895A1 (ja) * 2018-03-30 2019-10-03 国立大学法人東北大学 ニューラルネットワーク回路装置

Also Published As

Publication number Publication date
CN114127970A (zh) 2022-03-01
US20220261559A1 (en) 2022-08-18
JP6841393B1 (ja) 2021-03-10
WO2021171480A1 (ja) 2021-09-02

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