CN105981054A - 用于将值转换成尖峰的方法 - Google Patents

用于将值转换成尖峰的方法 Download PDF

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Publication number
CN105981054A
CN105981054A CN201580005586.3A CN201580005586A CN105981054A CN 105981054 A CN105981054 A CN 105981054A CN 201580005586 A CN201580005586 A CN 201580005586A CN 105981054 A CN105981054 A CN 105981054A
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China
Prior art keywords
neuron
spike
value
spikes
processor
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CN201580005586.3A
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English (en)
Chinese (zh)
Inventor
M-D·N·卡洛伊
Y·刘
B·F·贝哈巴迪
V·兰甘
J·F·亨泽格
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Qualcomm Inc
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Qualcomm Inc
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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
    • 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
    • G06N3/08—Learning methods
    • 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
CN201580005586.3A 2014-01-24 2015-01-22 用于将值转换成尖峰的方法 Pending CN105981054A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/163,921 2014-01-24
US14/163,921 US20150213356A1 (en) 2014-01-24 2014-01-24 Method for converting values into spikes
PCT/US2015/012464 WO2015112718A1 (en) 2014-01-24 2015-01-22 Method for converting values into spikes

Publications (1)

Publication Number Publication Date
CN105981054A true CN105981054A (zh) 2016-09-28

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ID=52544559

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201580005586.3A Pending CN105981054A (zh) 2014-01-24 2015-01-22 用于将值转换成尖峰的方法

Country Status (5)

Country Link
US (1) US20150213356A1 (enExample)
EP (1) EP3097518A1 (enExample)
JP (1) JP2017509956A (enExample)
CN (1) CN105981054A (enExample)
WO (1) WO2015112718A1 (enExample)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112384934A (zh) * 2018-09-06 2021-02-19 国际商业机器公司 因子图上的概率传播
CN115309677A (zh) * 2021-05-05 2022-11-08 旺宏电子股份有限公司 信息传输系统及其运作方法
CN116468086A (zh) * 2022-01-11 2023-07-21 北京灵汐科技有限公司 数据处理方法及装置、电子设备、计算机可读介质

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10423879B2 (en) 2016-01-13 2019-09-24 International Business Machines Corporation Efficient generation of stochastic spike patterns in core-based neuromorphic systems
US11636318B2 (en) * 2017-12-15 2023-04-25 Intel Corporation Context-based search using spike waves in spiking neural networks
KR102795609B1 (ko) 2019-11-25 2025-04-15 삼성전자주식회사 뉴로모픽 장치 및 이를 포함하는 뉴로모픽 시스템
US12079707B2 (en) * 2020-10-21 2024-09-03 International Business Machines Corporation Neural apparatus for a neural network system

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5216752A (en) * 1990-12-19 1993-06-01 Baylor College Of Medicine Interspike interval decoding neural network
JP3037432B2 (ja) * 1993-11-01 2000-04-24 カドラックス・インク 光波オーブンによる食物調理方法および調理装置
US8818923B1 (en) * 2011-06-27 2014-08-26 Hrl Laboratories, Llc Neural network device with engineered delays for pattern storage and matching
US9311593B2 (en) * 2010-03-26 2016-04-12 Brain Corporation Apparatus and methods for polychronous encoding and multiplexing in neuronal prosthetic devices
US8467623B2 (en) * 2010-03-26 2013-06-18 Brain Corporation Invariant pulse latency coding systems and methods systems and methods
US20120117012A1 (en) * 2010-04-08 2012-05-10 Neurosciences Research Foundation, Inc. Spike-timing computer modeling of working memory
US8756183B1 (en) * 2010-06-14 2014-06-17 Hrl Laboratories, Llc System for representing, storing, and reconstructing an input signal

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112384934A (zh) * 2018-09-06 2021-02-19 国际商业机器公司 因子图上的概率传播
CN112384934B (zh) * 2018-09-06 2024-09-24 国际商业机器公司 因子图上的概率传播
CN115309677A (zh) * 2021-05-05 2022-11-08 旺宏电子股份有限公司 信息传输系统及其运作方法
CN116468086A (zh) * 2022-01-11 2023-07-21 北京灵汐科技有限公司 数据处理方法及装置、电子设备、计算机可读介质

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Publication number Publication date
US20150213356A1 (en) 2015-07-30
WO2015112718A1 (en) 2015-07-30
JP2017509956A (ja) 2017-04-06
EP3097518A1 (en) 2016-11-30

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Application publication date: 20160928