KR20160145636A - 스파이킹 뉴럴 네트워크에서의 글로벌 스칼라 값들에 의한 가소성 조절 - Google Patents

스파이킹 뉴럴 네트워크에서의 글로벌 스칼라 값들에 의한 가소성 조절 Download PDF

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KR20160145636A
KR20160145636A KR1020167030348A KR20167030348A KR20160145636A KR 20160145636 A KR20160145636 A KR 20160145636A KR 1020167030348 A KR1020167030348 A KR 1020167030348A KR 20167030348 A KR20167030348 A KR 20167030348A KR 20160145636 A KR20160145636 A KR 20160145636A
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synapse
axon
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spike
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제프리 알렉산더 레빈
인인 리우
산딥 펜디암
마이클 캄포스
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퀄컴 인코포레이티드
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    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
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    • 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
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    • G06N3/00—Computing arrangements based on biological models
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    • 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
    • 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
    • G06N3/092—Reinforcement learning
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KR1020167030348A 2014-04-08 2015-03-23 스파이킹 뉴럴 네트워크에서의 글로벌 스칼라 값들에 의한 가소성 조절 Withdrawn KR20160145636A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/248,211 2014-04-08
US14/248,211 US20150286925A1 (en) 2014-04-08 2014-04-08 Modulating plasticity by global scalar values in a spiking neural network
PCT/US2015/022024 WO2015156989A2 (en) 2014-04-08 2015-03-23 Modulating plasticity by global scalar values in a spiking neural network

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KR20160145636A true KR20160145636A (ko) 2016-12-20

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KR1020167030348A Withdrawn KR20160145636A (ko) 2014-04-08 2015-03-23 스파이킹 뉴럴 네트워크에서의 글로벌 스칼라 값들에 의한 가소성 조절

Country Status (8)

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US (1) US20150286925A1 (enExample)
EP (1) EP3129921A2 (enExample)
JP (1) JP2017519268A (enExample)
KR (1) KR20160145636A (enExample)
CN (1) CN106164940A (enExample)
BR (1) BR112016023535A2 (enExample)
TW (1) TW201602924A (enExample)
WO (1) WO2015156989A2 (enExample)

Cited By (1)

* Cited by examiner, † Cited by third party
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KR20190051766A (ko) * 2017-11-06 2019-05-15 삼성전자주식회사 시냅스 가중치 학습을 위한 뉴런 회로, 시스템 및 방법

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KR102499396B1 (ko) 2017-03-03 2023-02-13 삼성전자 주식회사 뉴럴 네트워크 장치 및 뉴럴 네트워크 장치의 동작 방법
CN108665061B (zh) * 2017-03-28 2021-06-15 华为技术有限公司 数据处理装置和用于卷积计算的计算设备
TWI653584B (zh) 2017-09-15 2019-03-11 中原大學 利用非揮發性記憶體完成類神經網路訓練的方法
CN108009636B (zh) * 2017-11-16 2021-12-07 华南师范大学 深度学习神经网络进化方法、装置、介质和计算机设备
CN108388213B (zh) * 2018-02-05 2019-11-08 浙江天悟智能技术有限公司 基于局部可塑性回声状态网络的聚酯纺丝工艺控制方法
US10846593B2 (en) * 2018-04-27 2020-11-24 Qualcomm Technologies Inc. System and method for siamese instance search tracker with a recurrent neural network
CN109919305A (zh) * 2018-11-12 2019-06-21 中国科学院自动化研究所 基于自主决策脉冲神经网络的响应动作确定方法及系统
KR102744306B1 (ko) * 2018-12-07 2024-12-18 삼성전자주식회사 뉴럴 네트워크를 분할하는 방법 및 뉴로모픽 장치
US11526735B2 (en) * 2018-12-16 2022-12-13 International Business Machines Corporation Neuromorphic neuron apparatus for artificial neural networks
US11727252B2 (en) 2019-08-30 2023-08-15 International Business Machines Corporation Adaptive neuromorphic neuron apparatus for artificial neural networks
CN113011573B (zh) * 2021-03-18 2024-04-16 北京灵汐科技有限公司 一种权重处理方法及装置、电子设备和可读存储介质
CN120458605B (zh) * 2025-04-28 2025-12-09 北京瑞蜜达国际生物科技有限公司 基于神经介质的电信号检测方法及系统

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US5630024A (en) * 1994-01-19 1997-05-13 Nippon Telegraph And Telephone Corporation Method and apparatus for processing using neural network with reduced calculation amount
US7330369B2 (en) * 2004-04-06 2008-02-12 Bao Tran NANO-electronic memory array
US8200593B2 (en) * 2009-07-20 2012-06-12 Corticaldb Inc Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network
US8892487B2 (en) * 2010-12-30 2014-11-18 International Business Machines Corporation Electronic synapses for reinforcement learning
US9424513B2 (en) * 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for neural component memory transfer of a referenced pattern by including neurons to output a pattern substantially the same as the referenced pattern
US8475063B1 (en) * 2012-01-02 2013-07-02 Chung Jen Chang Lens cap
US9208431B2 (en) * 2012-05-10 2015-12-08 Qualcomm Incorporated Method and apparatus for strategic synaptic failure and learning in spiking neural networks

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190051766A (ko) * 2017-11-06 2019-05-15 삼성전자주식회사 시냅스 가중치 학습을 위한 뉴런 회로, 시스템 및 방법

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Publication number Publication date
EP3129921A2 (en) 2017-02-15
WO2015156989A2 (en) 2015-10-15
CN106164940A (zh) 2016-11-23
BR112016023535A2 (pt) 2017-08-15
US20150286925A1 (en) 2015-10-08
JP2017519268A (ja) 2017-07-13
WO2015156989A3 (en) 2015-12-03
TW201602924A (zh) 2016-01-16

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Patent event date: 20161028

Patent event code: PA01051R01D

Comment text: International Patent Application

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