CN106575378A - 带有异步脉冲调制的人工神经元和尖峰神经元 - Google Patents

带有异步脉冲调制的人工神经元和尖峰神经元 Download PDF

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CN106575378A
CN106575378A CN201580042543.2A CN201580042543A CN106575378A CN 106575378 A CN106575378 A CN 106575378A CN 201580042543 A CN201580042543 A CN 201580042543A CN 106575378 A CN106575378 A CN 106575378A
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neuron
spike
input
output
neurons
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Y·C·尹
V·阿帕林
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Qualcomm Inc
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Qualcomm Inc
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    • 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

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  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Computing Systems (AREA)
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  • Artificial Intelligence (AREA)
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CN201580042543.2A 2014-08-08 2015-07-07 带有异步脉冲调制的人工神经元和尖峰神经元 Pending CN106575378A (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201462035192P 2014-08-08 2014-08-08
US62/035,192 2014-08-08
US14/522,348 2014-10-23
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

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CN106575378A true CN106575378A (zh) 2017-04-19

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US (1) US20160042271A1 (cg-RX-API-DMAC7.html)
EP (1) EP3178039A1 (cg-RX-API-DMAC7.html)
JP (1) JP2017529592A (cg-RX-API-DMAC7.html)
KR (1) KR20170041724A (cg-RX-API-DMAC7.html)
CN (1) CN106575378A (cg-RX-API-DMAC7.html)
BR (1) BR112017002368A2 (cg-RX-API-DMAC7.html)
SG (1) SG11201610615QA (cg-RX-API-DMAC7.html)
WO (1) WO2016022241A1 (cg-RX-API-DMAC7.html)

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CN109325587A (zh) * 2017-07-31 2019-02-12 英特尔公司 可变历元尖峰序列滤波
CN111052152A (zh) * 2017-08-31 2020-04-21 Tdk株式会社 包含仿神经元件的阵列的控制装置、离散化步长的运算方法及程序
CN111587439A (zh) * 2017-08-11 2020-08-25 森田公司 脉冲宽度调制的乘法器
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
CN112836811A (zh) * 2019-11-25 2021-05-25 三星电子株式会社 神经形态设备及包括其的神经形态系统
CN115169547A (zh) * 2022-09-09 2022-10-11 深圳时识科技有限公司 神经形态芯片及电子设备
CN116306857A (zh) * 2023-05-18 2023-06-23 湖北大学 一种基于神经元膜高低电位采样的脉冲电路
CN116415636A (zh) * 2021-12-28 2023-07-11 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

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FR3050050B1 (fr) * 2016-04-11 2021-10-15 Univ De Lille 1 Neurone artificiel
US10713562B2 (en) 2016-06-18 2020-07-14 International Business Machines Corporation Neuromorphic memory circuit
US11741352B2 (en) * 2016-08-22 2023-08-29 International Business Machines Corporation Area and power efficient implementation of resistive processing units using complementary metal oxide semiconductor technology
US11238337B2 (en) * 2016-08-22 2022-02-01 Applied Brain Research Inc. Methods and systems for implementing dynamic neural networks
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
US11593623B2 (en) * 2017-12-22 2023-02-28 Intel Corporation Spiking neural network accelerator using external memory
WO2019133732A1 (en) * 2017-12-28 2019-07-04 Knowles Electronics, Llc Content-based audio stream separation
JP6569755B1 (ja) 2018-03-06 2019-09-04 Tdk株式会社 ニューラルネットワーク装置、信号生成方法およびプログラム
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
US20220058492A1 (en) * 2018-12-04 2022-02-24 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
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
US20210209473A1 (en) * 2021-03-25 2021-07-08 Intel Corporation Generalized Activations Function for Machine Learning
US20230376736A1 (en) * 2022-05-23 2023-11-23 International Business Machines Corporation Neuron circuits for spiking neural networks

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CN101821646A (zh) * 2007-08-08 2010-09-01 塔莱斯公司 判断涉及固定或移动发射机、反射器和传感器的传播信道的脉冲响应的方法和装置
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CN101821646A (zh) * 2007-08-08 2010-09-01 塔莱斯公司 判断涉及固定或移动发射机、反射器和传感器的传播信道的脉冲响应的方法和装置
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

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109325587A (zh) * 2017-07-31 2019-02-12 英特尔公司 可变历元尖峰序列滤波
CN111587439A (zh) * 2017-08-11 2020-08-25 森田公司 脉冲宽度调制的乘法器
CN111052152A (zh) * 2017-08-31 2020-04-21 Tdk株式会社 包含仿神经元件的阵列的控制装置、离散化步长的运算方法及程序
CN111052152B (zh) * 2017-08-31 2023-09-05 Tdk株式会社 包含仿神经元件的阵列的控制装置、离散化步长的运算方法及程序
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
CN112836811A (zh) * 2019-11-25 2021-05-25 三星电子株式会社 神经形态设备及包括其的神经形态系统
CN116415636A (zh) * 2021-12-28 2023-07-11 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
CN115169547A (zh) * 2022-09-09 2022-10-11 深圳时识科技有限公司 神经形态芯片及电子设备
CN116306857A (zh) * 2023-05-18 2023-06-23 湖北大学 一种基于神经元膜高低电位采样的脉冲电路
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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JP2017529592A (ja) 2017-10-05
WO2016022241A1 (en) 2016-02-11
US20160042271A1 (en) 2016-02-11
BR112017002368A2 (pt) 2017-12-05
KR20170041724A (ko) 2017-04-17
SG11201610615QA (en) 2017-02-27
EP3178039A1 (en) 2017-06-14

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