JPWO2022249308A1 - - Google Patents

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Publication number
JPWO2022249308A1
JPWO2022249308A1 JP2023523783A JP2023523783A JPWO2022249308A1 JP WO2022249308 A1 JPWO2022249308 A1 JP WO2022249308A1 JP 2023523783 A JP2023523783 A JP 2023523783A JP 2023523783 A JP2023523783 A JP 2023523783A JP WO2022249308 A1 JPWO2022249308 A1 JP WO2022249308A1
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JP
Japan
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JP2023523783A
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Japanese (ja)
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JP7605303B2 (ja
JPWO2022249308A5 (ja
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/065—Analogue means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Neurology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
JP2023523783A 2021-05-26 2021-05-26 設計方法およびプログラム Active JP7605303B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/019903 WO2022249308A1 (ja) 2021-05-26 2021-05-26 設計方法および記録媒体

Publications (3)

Publication Number Publication Date
JPWO2022249308A1 true JPWO2022249308A1 (cg-RX-API-DMAC7.html) 2022-12-01
JPWO2022249308A5 JPWO2022249308A5 (ja) 2024-02-09
JP7605303B2 JP7605303B2 (ja) 2024-12-24

Family

ID=84228613

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023523783A Active JP7605303B2 (ja) 2021-05-26 2021-05-26 設計方法およびプログラム

Country Status (3)

Country Link
US (1) US20240256826A1 (cg-RX-API-DMAC7.html)
JP (1) JP7605303B2 (cg-RX-API-DMAC7.html)
WO (1) WO2022249308A1 (cg-RX-API-DMAC7.html)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013119867A1 (en) * 2012-02-08 2013-08-15 Qualcomm Incorporated Methods and apparatus for spiking neural computation
WO2019125419A1 (en) * 2017-12-19 2019-06-27 Intel Corporation Device, system and method for varying a synaptic weight with a phase differential of a spiking neural network
WO2020241356A1 (ja) * 2019-05-30 2020-12-03 日本電気株式会社 スパイキングニューラルネットワークシステム、学習処理装置、学習処理方法および記録媒体

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013119867A1 (en) * 2012-02-08 2013-08-15 Qualcomm Incorporated Methods and apparatus for spiking neural computation
WO2019125419A1 (en) * 2017-12-19 2019-06-27 Intel Corporation Device, system and method for varying a synaptic weight with a phase differential of a spiking neural network
WO2020241356A1 (ja) * 2019-05-30 2020-12-03 日本電気株式会社 スパイキングニューラルネットワークシステム、学習処理装置、学習処理方法および記録媒体

Also Published As

Publication number Publication date
JP7605303B2 (ja) 2024-12-24
US20240256826A1 (en) 2024-08-01
WO2022249308A1 (ja) 2022-12-01

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