KR20160125967A - 일반적인 뉴런 모델들의 효율적인 구현을 위한 방법 및 장치 - Google Patents

일반적인 뉴런 모델들의 효율적인 구현을 위한 방법 및 장치 Download PDF

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KR20160125967A
KR20160125967A KR1020167023030A KR20167023030A KR20160125967A KR 20160125967 A KR20160125967 A KR 20160125967A KR 1020167023030 A KR1020167023030 A KR 1020167023030A KR 20167023030 A KR20167023030 A KR 20167023030A KR 20160125967 A KR20160125967 A KR 20160125967A
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neuron model
instances
state variables
memory
neuron
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앤서니 사라
제프리 알렉산더 레빈
제프리 바긴스키 겔하르
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퀄컴 인코포레이티드
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    • 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
    • G06N3/06—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
    • 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
    • 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
    • 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
    • G06N3/045—Combinations of networks
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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
    • G06N3/0499—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
    • 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

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KR1020167023030A 2014-02-28 2015-02-12 일반적인 뉴런 모델들의 효율적인 구현을 위한 방법 및 장치 Withdrawn KR20160125967A (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201461946051P 2014-02-28 2014-02-28
US61/946,051 2014-02-28
US14/267,394 2014-05-01
US14/267,394 US9672464B2 (en) 2014-02-28 2014-05-01 Method and apparatus for efficient implementation of common neuron models
PCT/US2015/015637 WO2015130476A2 (en) 2014-02-28 2015-02-12 Method and apparatus for efficient implementation of common neuron models

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KR20160125967A true KR20160125967A (ko) 2016-11-01

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KR1020167023030A Withdrawn KR20160125967A (ko) 2014-02-28 2015-02-12 일반적인 뉴런 모델들의 효율적인 구현을 위한 방법 및 장치

Country Status (7)

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US (1) US9672464B2 (enExample)
EP (1) EP3111378A2 (enExample)
JP (1) JP2017510890A (enExample)
KR (1) KR20160125967A (enExample)
CN (1) CN106068519B (enExample)
CA (1) CA2937945A1 (enExample)
WO (1) WO2015130476A2 (enExample)

Cited By (2)

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KR20180125734A (ko) * 2017-05-16 2018-11-26 한국전자통신연구원 파라미터 공유 장치 및 방법
WO2021137601A1 (ko) * 2019-12-30 2021-07-08 매니코어소프트주식회사 강화 학습 기반의 프로그램 최적화 방법

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US10068170B2 (en) * 2013-09-23 2018-09-04 Oracle International Corporation Minimizing global error in an artificial neural network
US11507806B2 (en) * 2017-09-08 2022-11-22 Rohit Seth Parallel neural processor for Artificial Intelligence
US11195079B2 (en) * 2017-11-22 2021-12-07 Intel Corporation Reconfigurable neuro-synaptic cores for spiking neural network
US11347998B2 (en) * 2018-02-26 2022-05-31 Fredric William Narcross Nervous system on a chip
CN108830379B (zh) * 2018-05-23 2021-12-17 电子科技大学 一种基于参数量化共享的神经形态处理器
CN109886384B (zh) * 2019-02-15 2021-01-05 北京工业大学 一种基于鼠脑海马网格细胞重构的仿生导航方法
US11270195B2 (en) 2019-03-05 2022-03-08 International Business Machines Corporation Neuromorphic computing in dynamic random access memory

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US5222196A (en) * 1990-02-20 1993-06-22 International Business Machines Corporation Neural network shell for application programs
JPH05128083A (ja) * 1991-10-31 1993-05-25 Ricoh Co Ltd 信号処理装置
US6167390A (en) * 1993-12-08 2000-12-26 3M Innovative Properties Company Facet classification neural network
EP1172763A3 (en) 2000-07-13 2008-11-05 International Business Machines Corporation Method and circuits for associating a norm to each component of an input pattern presented to a neural network
TW538381B (en) * 2000-07-13 2003-06-21 Ibm Method and circuits for associating a norm to each component of an input pattern presented to a neural network
US8027942B2 (en) * 2000-12-13 2011-09-27 International Business Machines Corporation Method and circuits for associating a complex operator to each component of an input pattern presented to an artificial neural network
JP4710931B2 (ja) 2008-07-09 2011-06-29 ソニー株式会社 学習装置、学習方法、およびプログラム
CN102947818B (zh) 2010-05-19 2015-07-22 加利福尼亚大学董事会 神经处理单元
US8650008B2 (en) 2010-08-05 2014-02-11 International Business Machines Corporation Method and system of developing corner models for various classes on nonlinear systems
KR101888468B1 (ko) 2011-06-08 2018-08-16 삼성전자주식회사 Ｓｔｄｐ 기능 셀을 위한 시냅스, ｓｔｄｐ 기능 셀 및 ｓｔｄｐ 기능 셀을 이용한 뉴로모픽 회로
US9111224B2 (en) * 2011-10-19 2015-08-18 Qualcomm Incorporated Method and apparatus for neural learning of natural multi-spike trains in spiking neural networks
US9111225B2 (en) * 2012-02-08 2015-08-18 Qualcomm Incorporated Methods and apparatus for spiking neural computation
US9256823B2 (en) 2012-07-27 2016-02-09 Qualcomm Technologies Inc. Apparatus and methods for efficient updates in spiking neuron network
US9256215B2 (en) 2012-07-27 2016-02-09 Brain Corporation Apparatus and methods for generalized state-dependent learning in spiking neuron networks

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180125734A (ko) * 2017-05-16 2018-11-26 한국전자통신연구원 파라미터 공유 장치 및 방법
WO2021137601A1 (ko) * 2019-12-30 2021-07-08 매니코어소프트주식회사 강화 학습 기반의 프로그램 최적화 방법
US12026487B2 (en) 2019-12-30 2024-07-02 Moreh Corp. Method for optimizing program using reinforcement learning

Also Published As

Publication number Publication date
US9672464B2 (en) 2017-06-06
WO2015130476A3 (en) 2015-10-22
JP2017510890A (ja) 2017-04-13
WO2015130476A2 (en) 2015-09-03
CA2937945A1 (en) 2015-09-03
CN106068519A (zh) 2016-11-02
CN106068519B (zh) 2018-12-18
US20150248607A1 (en) 2015-09-03
EP3111378A2 (en) 2017-01-04

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Patent event date: 20160823

Patent event code: PA01051R01D

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