CA2926034A1 - Dynamically assigning and examining synaptic delay - Google Patents

Dynamically assigning and examining synaptic delay Download PDF

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Publication number
CA2926034A1
CA2926034A1 CA2926034A CA2926034A CA2926034A1 CA 2926034 A1 CA2926034 A1 CA 2926034A1 CA 2926034 A CA2926034 A CA 2926034A CA 2926034 A CA2926034 A CA 2926034A CA 2926034 A1 CA2926034 A1 CA 2926034A1
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CA
Canada
Prior art keywords
delay parameter
dynamically
delay
processor
neural network
Prior art date
Legal status (The legal status 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 status listed.)
Abandoned
Application number
CA2926034A
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English (en)
French (fr)
Inventor
Anthony Sarah
Robert Howard Kimball
Brian Spinar
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qualcomm Inc
Original Assignee
Qualcomm Inc
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Filing date
Publication date
Application filed by Qualcomm Inc filed Critical Qualcomm Inc
Publication of CA2926034A1 publication Critical patent/CA2926034A1/en
Abandoned legal-status Critical Current

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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
    • G06N3/08—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
    • G06N3/04—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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • 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
    • G06N3/047—Probabilistic or stochastic 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
    • G06N3/08—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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Operations Research (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CA2926034A 2013-10-17 2014-08-21 Dynamically assigning and examining synaptic delay Abandoned CA2926034A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/056,856 2013-10-17
US14/056,856 US9536190B2 (en) 2013-10-17 2013-10-17 Dynamically assigning and examining synaptic delay
PCT/US2014/052157 WO2015057305A1 (en) 2013-10-17 2014-08-21 Dynamically assigning and examining synaptic delay

Publications (1)

Publication Number Publication Date
CA2926034A1 true CA2926034A1 (en) 2015-04-23

Family

ID=51492476

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2926034A Abandoned CA2926034A1 (en) 2013-10-17 2014-08-21 Dynamically assigning and examining synaptic delay

Country Status (7)

Country Link
US (1) US9536190B2 (enExample)
EP (1) EP3058517A1 (enExample)
JP (1) JP6219509B2 (enExample)
KR (1) KR101782760B1 (enExample)
CN (1) CN105659260B (enExample)
CA (1) CA2926034A1 (enExample)
WO (1) WO2015057305A1 (enExample)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10084620B1 (en) 2017-03-01 2018-09-25 Intel Corporation Neural network-based systems for high speed data links
CN108256638B (zh) * 2018-01-05 2021-06-22 上海兆芯集成电路有限公司 微处理器电路以及执行神经网络运算的方法
CN109002647B (zh) * 2018-08-17 2019-06-07 郑州轻工业学院 一种具有延时学习功能的忆阻联想记忆神经网络电路
US11461645B2 (en) 2019-12-02 2022-10-04 International Business Machines Corporation Initialization of memory networks
CN111563593B (zh) * 2020-05-08 2023-09-15 北京百度网讯科技有限公司 神经网络模型的训练方法和装置

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5666518A (en) * 1995-06-26 1997-09-09 The United States Of America As Represented By The Secretary Of The Air Force Pattern recognition by simulated neural-like networks
US5877954A (en) 1996-05-03 1999-03-02 Aspen Technology, Inc. Hybrid linear-neural network process control
US8335564B2 (en) 2005-05-27 2012-12-18 Rami Rom Ventricle pacing during atrial fibrillation episodes
US7958071B2 (en) * 2007-04-19 2011-06-07 Hewlett-Packard Development Company, L.P. Computational nodes and computational-node networks that include dynamical-nanodevice connections
US9147156B2 (en) * 2011-09-21 2015-09-29 Qualcomm Technologies Inc. Apparatus and methods for synaptic update in a pulse-coded network
US8725662B2 (en) 2011-09-21 2014-05-13 Brain Corporation Apparatus and method for partial evaluation of synaptic updates based on system events
US9092735B2 (en) 2011-09-21 2015-07-28 Qualcomm Incorporated Method and apparatus for structural delay plasticity in spiking neural networks

Also Published As

Publication number Publication date
CN105659260A (zh) 2016-06-08
CN105659260B (zh) 2018-06-29
US9536190B2 (en) 2017-01-03
EP3058517A1 (en) 2016-08-24
JP6219509B2 (ja) 2017-10-25
WO2015057305A1 (en) 2015-04-23
KR20160071437A (ko) 2016-06-21
KR101782760B1 (ko) 2017-09-27
US20150112908A1 (en) 2015-04-23
JP2016537712A (ja) 2016-12-01

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Legal Events

Date Code Title Description
EEER Examination request

Effective date: 20170208

FZDE Discontinued

Effective date: 20190703