IN2014CN03069A - - Google Patents

Info

Publication number
IN2014CN03069A
IN2014CN03069A IN3069CHN2014A IN2014CN03069A IN 2014CN03069 A IN2014CN03069 A IN 2014CN03069A IN 3069CHN2014 A IN3069CHN2014 A IN 3069CHN2014A IN 2014CN03069 A IN2014CN03069 A IN 2014CN03069A
Authority
IN
India
Prior art keywords
association
present disclosure
certain aspects
memory transfer
support techniques
Prior art date
Application number
Other languages
English (en)
Inventor
Jason Frank Hunzinger
Victor Hokkiu Chan
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 IN2014CN03069A publication Critical patent/IN2014CN03069A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/0409—Adaptive resonance theory [ART] networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • User Interface Of Digital Computer (AREA)
  • Testing Of Coins (AREA)
  • Detergent Compositions (AREA)
  • Air Conditioning Control Device (AREA)
IN3069CHN2014 2011-11-09 2012-11-09 IN2014CN03069A (ja)

Applications Claiming Priority (2)

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
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

Publications (1)

Publication Number Publication Date
IN2014CN03069A true IN2014CN03069A (ja) 2015-07-31

Family

ID=47295178

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3069CHN2014 IN2014CN03069A (ja) 2011-11-09 2012-11-09

Country Status (7)

Country Link
US (1) US9424513B2 (ja)
EP (1) EP2776985A1 (ja)
JP (1) JP5989792B2 (ja)
KR (1) KR101755082B1 (ja)
CN (1) CN103930907B (ja)
IN (1) IN2014CN03069A (ja)
WO (1) WO2013071160A1 (ja)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN113875156A (zh) * 2019-03-17 2021-12-31 恩帕博尔有限公司 用于交叉相关的方法及设备
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

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5583964A (en) 1994-05-02 1996-12-10 Motorola, Inc. Computer utilizing neural network and method of using same
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
JP3647584B2 (ja) 1996-12-26 2005-05-11 富士通株式会社 学習型自己定位装置
US6041322A (en) 1997-04-18 2000-03-21 Industrial Technology Research Institute Method and apparatus for processing data in a neural network
WO2004097733A2 (en) 2003-04-30 2004-11-11 Darwinian Neural Network Industries Ltd Neural networks
JP2005190429A (ja) 2003-12-26 2005-07-14 Hiroshima Univ 参照データ認識・学習方法及びパターン認識システム
US7454388B2 (en) 2005-05-07 2008-11-18 Thaler Stephen L 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
EP2259214B1 (en) 2009-06-04 2013-02-27 Honda Research Institute Europe GmbH Implementing a neural associative memory based on non-linear learning of discrete synapses
US20120117012A1 (en) * 2010-04-08 2012-05-10 Neurosciences Research Foundation, Inc. Spike-timing computer modeling of working memory
WO2012138761A1 (en) * 2011-04-04 2012-10-11 Sheepdog Sciences, Inc. Apparatus, system, and method for modulating consolidation of memory during sleep
US9147155B2 (en) 2011-08-16 2015-09-29 Qualcomm Incorporated Method and apparatus for neural temporal coding, learning and recognition
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
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
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
WO2014081671A1 (en) 2012-11-20 2014-05-30 Qualcomm Incorporated Dynamical event neuron and synapse models for learning spiking neural networks

Also Published As

Publication number Publication date
CN103930907A (zh) 2014-07-16
KR101755082B1 (ko) 2017-07-19
CN103930907B (zh) 2017-12-29
WO2013071160A1 (en) 2013-05-16
EP2776985A1 (en) 2014-09-17
US9424513B2 (en) 2016-08-23
JP5989792B2 (ja) 2016-09-07
US20130117211A1 (en) 2013-05-09
KR20140092882A (ko) 2014-07-24
JP2014535118A (ja) 2014-12-25

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