IN2014CN03033A - - Google Patents

Info

Publication number
IN2014CN03033A
IN2014CN03033A IN3033CHN2014A IN2014CN03033A IN 2014CN03033 A IN2014CN03033 A IN 2014CN03033A IN 3033CHN2014 A IN3033CHN2014 A IN 3033CHN2014A IN 2014CN03033 A IN2014CN03033 A IN 2014CN03033A
Authority
IN
India
Prior art keywords
association
present disclosure
certain aspects
memory transfer
support techniques
Prior art date
Application number
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 IN2014CN03033A publication Critical patent/IN2014CN03033A/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
    • G06N3/04—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
    • G06N3/04—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
    • G06N3/08—Learning methods
    • 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

Landscapes

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

Abstract

Certain aspects of the present disclosure support techniques for unsupervised neural replay learning refinement association and memory transfer.
IN3033CHN2014 2011-11-09 2012-11-09 IN2014CN03033A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/292,167 US9424511B2 (en) 2011-11-09 2011-11-09 Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs
PCT/US2012/064521 WO2013071164A1 (en) 2011-11-09 2012-11-09 Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: neural component replay

Publications (1)

Publication Number Publication Date
IN2014CN03033A true IN2014CN03033A (en) 2015-07-03

Family

ID=47428967

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3033CHN2014 IN2014CN03033A (en) 2011-11-09 2012-11-09

Country Status (7)

Country Link
US (1) US9424511B2 (en)
EP (1) EP2776987A1 (en)
JP (1) JP5989793B2 (en)
KR (1) KR101616660B1 (en)
CN (1) CN103930908B (en)
IN (1) IN2014CN03033A (en)
WO (1) WO2013071164A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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
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
CN104778202B (en) * 2015-02-05 2018-08-14 北京航空航天大学 The analysis method and system of event evolutionary process based on keyword
CN106650922B (en) * 2016-09-29 2019-05-03 清华大学 Hardware neural network conversion method, computing device, software and hardware cooperative system
CN109002647B (en) * 2018-08-17 2019-06-07 郑州轻工业学院 A kind of memristor associative memory neural network circuit with delay learning functionality
US11790245B2 (en) * 2019-01-22 2023-10-17 International Business Machines Corporation Cognitive machine learning for semantic network
EP3953868A4 (en) * 2019-04-10 2023-01-11 Cornell University Neuromorphic algorithm for rapid online learning and signal restoration
CN110222387B (en) * 2019-05-24 2021-01-12 北京化工大学 Multi-element drilling time sequence prediction method based on mixed leaky integration CRJ network
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus

Family Cites Families (18)

* 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 (en) 1996-12-26 2005-05-11 富士通株式会社 Learning type self-localization device
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 (en) 2003-12-26 2005-07-14 Hiroshima Univ Reference data recognition/learning method and pattern recognition system
US20080243741A1 (en) * 2004-01-06 2008-10-02 Neuric Technologies, Llc Method and apparatus for defining an artificial brain via a plurality of concept nodes connected together through predetermined relationships
US7454388B2 (en) 2005-05-07 2008-11-18 Thaler Stephen L Device for the autonomous bootstrapping of useful information
JP4201012B2 (en) 2006-04-06 2008-12-24 ソニー株式会社 Data processing apparatus, data processing method, and program
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
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
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
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
KR20140092881A (en) 2014-07-24
US9424511B2 (en) 2016-08-23
JP5989793B2 (en) 2016-09-07
CN103930908B (en) 2017-06-27
CN103930908A (en) 2014-07-16
EP2776987A1 (en) 2014-09-17
JP2014535119A (en) 2014-12-25
US20130117210A1 (en) 2013-05-09
WO2013071164A1 (en) 2013-05-16
KR101616660B1 (en) 2016-04-28

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