CN103930907B - 一种神经组件记忆转移的方法和装置 - Google Patents

一种神经组件记忆转移的方法和装置 Download PDF

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CN103930907B
CN103930907B CN201280055199.7A CN201280055199A CN103930907B CN 103930907 B CN103930907 B CN 103930907B CN 201280055199 A CN201280055199 A CN 201280055199A CN 103930907 B CN103930907 B CN 103930907B
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pattern
neurons
neuron
afferent
learning
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CN103930907A (zh
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J·F·亨泽格
V·H·陈
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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
    • 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
    • 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
    • G06N3/096—Transfer learning

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CN201280055199.7A 2011-11-09 2012-11-09 一种神经组件记忆转移的方法和装置 Expired - Fee Related CN103930907B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/292,175 US9424513B2 (en) 2011-11-09 2011-11-09 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
US13/292,175 2011-11-09
PCT/US2012/064517 WO2013071160A1 (en) 2011-11-09 2012-11-09 Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: neural component memory transfer

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CN103930907A CN103930907A (zh) 2014-07-16
CN103930907B true CN103930907B (zh) 2017-12-29

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US (1) US9424513B2 (https=)
EP (1) EP2776985A1 (https=)
JP (1) JP5989792B2 (https=)
KR (1) KR101755082B1 (https=)
CN (1) CN103930907B (https=)
IN (1) IN2014CN03069A (https=)
WO (1) WO2013071160A1 (https=)

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US9424511B2 (en) 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs
US9443190B2 (en) 2011-11-09 2016-09-13 Qualcomm Incorporated Methods and apparatus for neural pattern sequence completion and neural pattern hierarchical replay by invoking replay of a referenced neural pattern
US9015091B2 (en) * 2011-11-09 2015-04-21 Qualcomm Incorporated Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling
US9652711B2 (en) * 2014-03-12 2017-05-16 Qualcomm Incorporated Analog signal reconstruction and recognition via sub-threshold modulation
US20150286925A1 (en) * 2014-04-08 2015-10-08 Qualcomm Incorporated Modulating plasticity by global scalar values in a spiking neural network
US10740659B2 (en) * 2017-12-14 2020-08-11 International Business Machines Corporation Fusing sparse kernels to approximate a full kernel of a convolutional neural network
EP4475437A3 (en) * 2019-03-17 2025-02-26 NParbor, Inc. Method and apparatus for cross correlation
WO2020247309A1 (en) 2019-06-02 2020-12-10 Barton David Carl Method and apparatus for shared cross-stream event detection
JP7118930B2 (ja) * 2019-08-19 2022-08-16 株式会社東芝 スパイキングニューラルネットワーク装置およびその学習方法
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus

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US6041322A (en) * 1997-04-18 2000-03-21 Industrial Technology Research Institute Method and apparatus for processing data in a neural network
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EP2360629A3 (en) 2005-05-07 2012-04-11 Stephen L. Thaler Device for the autonomous bootstrapping of useful information
JP4201012B2 (ja) 2006-04-06 2008-12-24 ソニー株式会社 データ処理装置、データ処理方法、およびプログラム
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US9147155B2 (en) 2011-08-16 2015-09-29 Qualcomm Incorporated Method and apparatus for neural temporal coding, learning and recognition
US9443190B2 (en) 2011-11-09 2016-09-13 Qualcomm Incorporated Methods and apparatus for neural pattern sequence completion and neural pattern hierarchical replay by invoking replay of a referenced neural pattern
US9015091B2 (en) 2011-11-09 2015-04-21 Qualcomm Incorporated Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling
US9424511B2 (en) 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs
US8909575B2 (en) 2012-02-29 2014-12-09 Qualcomm Incorporated Method and apparatus for modeling neural resource based synaptic placticity
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CN1150847A (zh) * 1994-05-02 1997-05-28 摩托罗拉公司 使用神经网络的计算机和使用该神经网络的方法
US6041322A (en) * 1997-04-18 2000-03-21 Industrial Technology Research Institute Method and apparatus for processing data in a neural network
US7089218B1 (en) * 2004-01-06 2006-08-08 Neuric Technologies, Llc Method for inclusion of psychological temperament in an electronic emulation of the human brain

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Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue;Panayiota Poirazi;《Neuron》;20010301;第29卷(第3期);摘要，第780页左栏最后一段-782页左栏第1段，783页右栏最后一段-784右栏第3段，786页右栏第2段-788页右栏第2段，788页右栏第4段-792页左栏最后一段，附图1、2、4、6 *

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Publication number Publication date
KR20140092882A (ko) 2014-07-24
US9424513B2 (en) 2016-08-23
US20130117211A1 (en) 2013-05-09
CN103930907A (zh) 2014-07-16
KR101755082B1 (ko) 2017-07-19
EP2776985A1 (en) 2014-09-17
IN2014CN03069A (https=) 2015-07-31
WO2013071160A1 (en) 2013-05-16
JP2014535118A (ja) 2014-12-25
JP5989792B2 (ja) 2016-09-07

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