SG11201610615QA - Artificial neurons and spiking neurons with asynchronous pulse modulation - Google Patents

Artificial neurons and spiking neurons with asynchronous pulse modulation

Info

Publication number
SG11201610615QA
SG11201610615QA SG11201610615QA SG11201610615QA SG11201610615QA SG 11201610615Q A SG11201610615Q A SG 11201610615QA SG 11201610615Q A SG11201610615Q A SG 11201610615QA SG 11201610615Q A SG11201610615Q A SG 11201610615QA SG 11201610615Q A SG11201610615Q A SG 11201610615QA
Authority
SG
Singapore
Prior art keywords
neurons
pulse modulation
spiking
asynchronous pulse
artificial
Prior art date
Application number
SG11201610615QA
Other languages
English (en)
Inventor
Young Cheul Yoon
Vladimir Aparin
Original Assignee
Qualcomm Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Qualcomm Inc filed Critical Qualcomm Inc
Publication of SG11201610615QA publication Critical patent/SG11201610615QA/en

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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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • 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
    • G06N3/0499—Feedforward networks
    • 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
    • G06N3/08—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

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)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Image Analysis (AREA)
  • Transmission Systems Not Characterized By The Medium Used For Transmission (AREA)
SG11201610615QA 2014-08-08 2015-07-07 Artificial neurons and spiking neurons with asynchronous pulse modulation SG11201610615QA (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201462035192P 2014-08-08 2014-08-08
US14/522,348 US20160042271A1 (en) 2014-08-08 2014-10-23 Artificial neurons and spiking neurons with asynchronous pulse modulation
PCT/US2015/039396 WO2016022241A1 (en) 2014-08-08 2015-07-07 Artificial neurons and spiking neurons with asynchronous pulse modulation

Publications (1)

Publication Number Publication Date
SG11201610615QA true SG11201610615QA (en) 2017-02-27

Family

ID=55264313

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201610615QA SG11201610615QA (en) 2014-08-08 2015-07-07 Artificial neurons and spiking neurons with asynchronous pulse modulation

Country Status (8)

Country Link
US (1) US20160042271A1 (https=)
EP (1) EP3178039A1 (https=)
JP (1) JP2017529592A (https=)
KR (1) KR20170041724A (https=)
CN (1) CN106575378A (https=)
BR (1) BR112017002368A2 (https=)
SG (1) SG11201610615QA (https=)
WO (1) WO2016022241A1 (https=)

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CN106897768B (zh) * 2017-01-25 2020-04-21 清华大学 神经网络信息发送方法和系统
US9934838B1 (en) 2017-05-10 2018-04-03 International Business Machines Corporation Pulse shaping unit cell and array for symmetric updating
US10956811B2 (en) * 2017-07-31 2021-03-23 Intel Corporation Variable epoch spike train filtering
US11216723B2 (en) * 2017-08-11 2022-01-04 Syntiant Pulse-width modulated multiplier
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US11593623B2 (en) * 2017-12-22 2023-02-28 Intel Corporation Spiking neural network accelerator using external memory
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CN109039980B (zh) * 2018-07-12 2020-09-25 北京大学 一种时空脉冲阵列信号进行量化的方法
US11232352B2 (en) 2018-07-17 2022-01-25 Hewlett Packard Enterprise Development Lp Memristor spiking architecture
CN112437929A (zh) * 2018-10-11 2021-03-02 谷歌有限责任公司 带泄漏尖峰神经网络中的时间编码
WO2020115746A1 (en) * 2018-12-04 2020-06-11 Technion Research & Development Foundation Limited Delta-sigma modulation neurons for high-precision training of memristive synapses in deep neural networks
US11593629B2 (en) * 2019-03-18 2023-02-28 SiliconIntervention Inc. Hybrid delta modulator as neuron with memory
CN112308107A (zh) * 2019-07-25 2021-02-02 智力芯片有限责任公司 可重构和时间编码卷积尖峰神经网络中基于事件的特征分类
US11727252B2 (en) * 2019-08-30 2023-08-15 International Business Machines Corporation Adaptive neuromorphic neuron apparatus for artificial neural networks
US11599799B1 (en) * 2019-09-17 2023-03-07 Rockwell Collins, Inc. Digital signal processing with neural networks
KR102795609B1 (ko) * 2019-11-25 2025-04-15 삼성전자주식회사 뉴로모픽 장치 및 이를 포함하는 뉴로모픽 시스템
JP7271463B2 (ja) * 2020-03-06 2023-05-11 株式会社東芝 シナプス回路およびニューラルネットワーク装置
US12511523B2 (en) 2020-06-05 2025-12-30 Electronics And Telecommunications Research Institute Data processing device of spike neural network and data processing method thereof
TW202546696A (zh) * 2020-10-30 2025-12-01 荷蘭商因納特拉納米系統有限公司 用於分佈式多組件突觸計算結構之尖峰神經網路及方法
US20210209473A1 (en) * 2021-03-25 2021-07-08 Intel Corporation Generalized Activations Function for Machine Learning
CN116415636B (zh) * 2021-12-28 2026-01-23 北京灵汐科技有限公司 事件传输方法、处理设备、计算机可读介质
US20230376736A1 (en) * 2022-05-23 2023-11-23 International Business Machines Corporation Neuron circuits for spiking neural networks
CN115169547B (zh) * 2022-09-09 2022-11-29 深圳时识科技有限公司 神经形态芯片及电子设备
CN116306857B (zh) * 2023-05-18 2023-07-18 湖北大学 一种基于神经元膜高低电位采样的脉冲电路

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WO2014011907A2 (en) * 2012-07-13 2014-01-16 The Trustees Of Columbia University In The City Of New York Systems and methods for identification of spike-processing circuits

Also Published As

Publication number Publication date
EP3178039A1 (en) 2017-06-14
JP2017529592A (ja) 2017-10-05
CN106575378A (zh) 2017-04-19
WO2016022241A1 (en) 2016-02-11
BR112017002368A2 (pt) 2017-12-05
US20160042271A1 (en) 2016-02-11
KR20170041724A (ko) 2017-04-17

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