KR101466205B1 - 전기 회로, 디지털 뉴럴 프로세싱 유닛을 구현하기 위한 방법 및 장치 - Google Patents

전기 회로, 디지털 뉴럴 프로세싱 유닛을 구현하기 위한 방법 및 장치 Download PDF

Info

Publication number
KR101466205B1
KR101466205B1 KR1020137003040A KR20137003040A KR101466205B1 KR 101466205 B1 KR101466205 B1 KR 101466205B1 KR 1020137003040 A KR1020137003040 A KR 1020137003040A KR 20137003040 A KR20137003040 A KR 20137003040A KR 101466205 B1 KR101466205 B1 KR 101466205B1
Authority
KR
South Korea
Prior art keywords
synapse
probability
generator
circuit
weight value
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.)
Expired - Fee Related
Application number
KR1020137003040A
Other languages
English (en)
Korean (ko)
Other versions
KR20130036313A (ko
Inventor
블라디미르 아파린
수브라마니암 벤카트라만
Original Assignee
퀄컴 인코포레이티드
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 퀄컴 인코포레이티드 filed Critical 퀄컴 인코포레이티드
Publication of KR20130036313A publication Critical patent/KR20130036313A/ko
Application granted granted Critical
Publication of KR101466205B1 publication Critical patent/KR101466205B1/ko
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G06N3/06—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
    • 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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Neurology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Semiconductor Memories (AREA)
  • User Interface Of Digital Computer (AREA)
  • Logic Circuits (AREA)
  • Complex Calculations (AREA)
KR1020137003040A 2010-07-07 2011-07-07 전기 회로, 디지털 뉴럴 프로세싱 유닛을 구현하기 위한 방법 및 장치 Expired - Fee Related KR101466205B1 (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US12/831,871 US9129220B2 (en) 2010-07-07 2010-07-07 Methods and systems for digital neural processing with discrete-level synapes and probabilistic STDP
US12/831,871 2010-07-07
PCT/US2011/043259 WO2012054109A1 (en) 2010-07-07 2011-07-07 Methods and systems for digital neural processing with discrete-level synapses and probabilistic stdp

Publications (2)

Publication Number Publication Date
KR20130036313A KR20130036313A (ko) 2013-04-11
KR101466205B1 true KR101466205B1 (ko) 2014-11-27

Family

ID=45439305

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020137003040A Expired - Fee Related KR101466205B1 (ko) 2010-07-07 2011-07-07 전기 회로, 디지털 뉴럴 프로세싱 유닛을 구현하기 위한 방법 및 장치

Country Status (7)

Country Link
US (1) US9129220B2 (enExample)
EP (1) EP2591452A1 (enExample)
JP (1) JP5680751B2 (enExample)
KR (1) KR101466205B1 (enExample)
CN (1) CN102959566B (enExample)
TW (1) TW201209735A (enExample)
WO (1) WO2012054109A1 (enExample)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11250320B2 (en) 2017-05-25 2022-02-15 Samsung Electronics Co., Ltd. Neural network method and apparatus

Families Citing this family (81)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9405975B2 (en) 2010-03-26 2016-08-02 Brain Corporation Apparatus and methods for pulse-code invariant object recognition
US9269042B2 (en) 2010-09-30 2016-02-23 International Business Machines Corporation Producing spike-timing dependent plasticity in a neuromorphic network utilizing phase change synaptic devices
US8843426B2 (en) * 2011-05-25 2014-09-23 Qualcomm Incorporated Method and apparatus of primary visual cortex simple cell training and operation
US8583577B2 (en) * 2011-05-25 2013-11-12 Qualcomm Incorporated Method and apparatus for unsupervised training of input synapses of primary visual cortex simple cells and other neural circuits
US9566710B2 (en) 2011-06-02 2017-02-14 Brain Corporation Apparatus and methods for operating robotic devices using selective state space training
US8990133B1 (en) 2012-12-20 2015-03-24 Brain Corporation Apparatus and methods for state-dependent learning in spiking neuron networks
FR2977350B1 (fr) * 2011-06-30 2013-07-19 Commissariat Energie Atomique Reseau de neurones artificiels a base de dispositifs memristifs complementaires
US9460387B2 (en) * 2011-09-21 2016-10-04 Qualcomm Technologies Inc. Apparatus and methods for implementing event-based updates in neuron networks
US8909576B2 (en) * 2011-09-16 2014-12-09 International Business Machines Corporation Neuromorphic event-driven neural computing architecture in a scalable neural network
US9213937B2 (en) 2011-09-21 2015-12-15 Brain Corporation Apparatus and methods for gating analog and spiking signals in artificial neural networks
US9156165B2 (en) 2011-09-21 2015-10-13 Brain Corporation Adaptive critic apparatus and methods
US9015092B2 (en) 2012-06-04 2015-04-21 Brain Corporation Dynamically reconfigurable stochastic learning apparatus and methods
US9146546B2 (en) 2012-06-04 2015-09-29 Brain Corporation Systems and apparatus for implementing task-specific learning using spiking neurons
US9104186B2 (en) 2012-06-04 2015-08-11 Brain Corporation Stochastic apparatus and methods for implementing generalized learning rules
US9412041B1 (en) 2012-06-29 2016-08-09 Brain Corporation Retinal apparatus and methods
US9256215B2 (en) 2012-07-27 2016-02-09 Brain Corporation Apparatus and methods for generalized state-dependent learning in spiking neuron networks
US8669785B2 (en) * 2012-07-31 2014-03-11 Hewlett-Packard Development Company, L.P. Logic circuits using neuristors
US9367798B2 (en) 2012-09-20 2016-06-14 Brain Corporation Spiking neuron network adaptive control apparatus and methods
US9189730B1 (en) 2012-09-20 2015-11-17 Brain Corporation Modulated stochasticity spiking neuron network controller apparatus and methods
FR2996029B1 (fr) 2012-09-26 2018-02-16 Commissariat A L'energie Atomique Et Aux Energies Alternatives Systeme neuromorphique exploitant les caracteristiques intrinseque de cellules de memoire
US9082079B1 (en) 2012-10-22 2015-07-14 Brain Corporation Proportional-integral-derivative controller effecting expansion kernels comprising a plurality of spiking neurons associated with a plurality of receptive fields
US9195934B1 (en) 2013-01-31 2015-11-24 Brain Corporation Spiking neuron classifier apparatus and methods using conditionally independent subsets
US9764468B2 (en) 2013-03-15 2017-09-19 Brain Corporation Adaptive predictor apparatus and methods
US20140310216A1 (en) * 2013-04-15 2014-10-16 Qualcomm Incorporated Method for generating compact representations of spike timing-dependent plasticity curves
US9008840B1 (en) 2013-04-19 2015-04-14 Brain Corporation Apparatus and methods for reinforcement-guided supervised learning
CN103279958B (zh) * 2013-05-31 2015-10-14 电子科技大学 一种基于Spiking神经网络的图像分割方法
US9242372B2 (en) 2013-05-31 2016-01-26 Brain Corporation Adaptive robotic interface apparatus and methods
US9792546B2 (en) 2013-06-14 2017-10-17 Brain Corporation Hierarchical robotic controller apparatus and methods
US9314924B1 (en) * 2013-06-14 2016-04-19 Brain Corporation Predictive robotic controller apparatus and methods
US9436909B2 (en) 2013-06-19 2016-09-06 Brain Corporation Increased dynamic range artificial neuron network apparatus and methods
US9552546B1 (en) 2013-07-30 2017-01-24 Brain Corporation Apparatus and methods for efficacy balancing in a spiking neuron network
US9418332B2 (en) 2013-08-16 2016-08-16 Qualcomm Incorporated Post ghost plasticity
US9959499B2 (en) 2013-09-25 2018-05-01 Qualcomm Incorporated Methods and apparatus for implementation of group tags for neural models
US9579789B2 (en) 2013-09-27 2017-02-28 Brain Corporation Apparatus and methods for training of robotic control arbitration
US9489623B1 (en) 2013-10-15 2016-11-08 Brain Corporation Apparatus and methods for backward propagation of errors in a spiking neuron network
US9418331B2 (en) * 2013-10-28 2016-08-16 Qualcomm Incorporated Methods and apparatus for tagging classes using supervised learning
US9597797B2 (en) 2013-11-01 2017-03-21 Brain Corporation Apparatus and methods for haptic training of robots
US9463571B2 (en) 2013-11-01 2016-10-11 Brian Corporation Apparatus and methods for online training of robots
US9358685B2 (en) 2014-02-03 2016-06-07 Brain Corporation Apparatus and methods for control of robot actions based on corrective user inputs
US9346167B2 (en) 2014-04-29 2016-05-24 Brain Corporation Trainable convolutional network apparatus and methods for operating a robotic vehicle
US10198691B2 (en) 2014-06-19 2019-02-05 University Of Florida Research Foundation, Inc. Memristive nanofiber neural networks
US9630318B2 (en) 2014-10-02 2017-04-25 Brain Corporation Feature detection apparatus and methods for training of robotic navigation
US9881349B1 (en) 2014-10-24 2018-01-30 Gopro, Inc. Apparatus and methods for computerized object identification
US10803941B2 (en) * 2014-12-22 2020-10-13 Mohammad A. Mazed System on chip (SoC) based on neural processor or microprocessor
US9717387B1 (en) 2015-02-26 2017-08-01 Brain Corporation Apparatus and methods for programming and training of robotic household appliances
JP6502799B2 (ja) * 2015-09-04 2019-04-17 株式会社東芝 信号発生装置および伝送装置
US11475269B2 (en) * 2015-12-15 2022-10-18 Analog Devices, Inc. Convolutional neural network
EP3208750A1 (en) * 2016-02-22 2017-08-23 Universität Zürich An analogue electronic deep neural network
US11106973B2 (en) 2016-03-16 2021-08-31 Hong Kong Applied Science and Technology Research Institute Company Limited Method and system for bit-depth reduction in artificial neural networks
CN106796668B (zh) * 2016-03-16 2019-06-14 香港应用科技研究院有限公司 用于人工神经网络中比特深度减少的方法和系统
US10147035B2 (en) * 2016-06-30 2018-12-04 Hrl Laboratories, Llc Neural integrated circuit with biological behaviors
CN106407988B (zh) * 2016-09-05 2019-11-26 中国科学院自动化研究所 基于电镜序列切片图像的突触检测方法
JP2019537792A (ja) * 2016-10-27 2019-12-26 ユニバーシティ オブ フロリダ リサーチ ファンデーション インコーポレーティッド 神経形態学的回路のための記憶学習
EP3324343A1 (en) 2016-11-21 2018-05-23 Centre National de la Recherche Scientifique Unsupervised detection of repeating patterns in a series of events
KR102313796B1 (ko) * 2017-01-25 2021-10-20 한국전자통신연구원 뉴로모픽 연산 장치
US12430543B2 (en) 2017-04-04 2025-09-30 Hailo Technologies Ltd. Structured sparsity guided training in an artificial neural network
US11615297B2 (en) 2017-04-04 2023-03-28 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network compiler
US11238334B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method of input alignment for efficient vector operations in an artificial neural network
US11544545B2 (en) 2017-04-04 2023-01-03 Hailo Technologies Ltd. Structured activation based sparsity in an artificial neural network
US10387298B2 (en) 2017-04-04 2019-08-20 Hailo Technologies Ltd Artificial neural network incorporating emphasis and focus techniques
US11551028B2 (en) 2017-04-04 2023-01-10 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network
TWI625681B (zh) 2017-05-11 2018-06-01 國立交通大學 神經網路處理系統
US20180336470A1 (en) 2017-05-22 2018-11-22 University Of Florida Research Foundation, Inc. Deep learning in bipartite memristive networks
CN107608715B (zh) * 2017-07-20 2020-07-03 上海寒武纪信息科技有限公司 用于执行人工神经网络正向运算的装置及方法
US11301752B2 (en) * 2017-10-24 2022-04-12 International Business Machines Corporation Memory configuration for implementing a neural network
CN111279365B (zh) * 2017-10-26 2024-10-18 深圳源光科技有限公司 计算单元
US11100389B2 (en) * 2017-11-06 2021-08-24 Electronic Warfare Associates, Inc. Conversion of digital signals into spiking analog signals
US20190251430A1 (en) * 2018-02-13 2019-08-15 International Business Machines Corporation Mixed signal cmos rpu with digital weight storage
US11468299B2 (en) 2018-11-01 2022-10-11 Brainchip, Inc. Spiking neural network
CN109635938B (zh) * 2018-12-29 2022-05-17 电子科技大学 一种自主学习脉冲神经网络权值量化方法
CN109978019B (zh) * 2019-03-07 2023-05-23 东北师范大学 图像模式识别模拟与数字混合忆阻设备及制备，实现stdp学习规则和图像模式识别方法
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
US10861539B1 (en) * 2019-08-21 2020-12-08 Micron Technology, Inc. Neural network memory
US11263077B1 (en) 2020-09-29 2022-03-01 Hailo Technologies Ltd. Neural network intermediate results safety mechanism in an artificial neural network processor
US11221929B1 (en) 2020-09-29 2022-01-11 Hailo Technologies Ltd. Data stream fault detection mechanism in an artificial neural network processor
US11237894B1 (en) 2020-09-29 2022-02-01 Hailo Technologies Ltd. Layer control unit instruction addressing safety mechanism in an artificial neural network processor
US11811421B2 (en) 2020-09-29 2023-11-07 Hailo Technologies Ltd. Weights safety mechanism in an artificial neural network processor
US11874900B2 (en) 2020-09-29 2024-01-16 Hailo Technologies Ltd. Cluster interlayer safety mechanism in an artificial neural network processor
US12248367B2 (en) 2020-09-29 2025-03-11 Hailo Technologies Ltd. Software defined redundant allocation safety mechanism in an artificial neural network processor
JP7427617B2 (ja) * 2021-01-27 2024-02-05 株式会社東芝 ニューラルネットワーク装置、情報処理装置およびプログラム
JP7735339B2 (ja) * 2023-03-01 2025-09-08 株式会社東芝 ニューラルネットワーク装置およびシナプス重み更新方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009113993A1 (en) 2008-03-14 2009-09-17 Hewlett-Packard Development Company, L.P. Neuromorphic circuit

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06266868A (ja) * 1992-12-24 1994-09-22 Olympus Optical Co Ltd ニューロン素子
US6507828B1 (en) 1998-06-19 2003-01-14 Jason Leonard Neuron circuit and related techniques
US7392230B2 (en) * 2002-03-12 2008-06-24 Knowmtech, Llc Physical neural network liquid state machine utilizing nanotechnology
CN1464477A (zh) 2002-06-18 2003-12-31 中国科学院半导体研究所 多权值突触的神经元构造方法
US7519452B2 (en) 2004-04-15 2009-04-14 Neurosciences Research Foundation, Inc. Mobile brain-based device for use in a real world environment
US8103602B2 (en) 2006-12-29 2012-01-24 Neurosciences Research Foundation, Inc. Solving the distal reward problem through linkage of STDP and dopamine signaling
US8127075B2 (en) 2007-07-20 2012-02-28 Seagate Technology Llc Non-linear stochastic processing storage device
US7818273B2 (en) * 2007-09-18 2010-10-19 International Business Machines Corporation System and method for cortical simulation
US8332448B2 (en) 2007-10-12 2012-12-11 Sanyo Semiconductor Co., Ltd. Semiconductor integrated circuit having a random number and oscillator circuit for variably controlling stored data
US8258480B2 (en) 2008-03-03 2012-09-04 The Board Of Trustees Of The Leland Stanford Junior University High energy photon detection using pulse width modulation
US8250011B2 (en) 2008-09-21 2012-08-21 Van Der Made Peter A J Autonomous learning dynamic artificial neural computing device and brain inspired system
JP5074359B2 (ja) 2008-11-12 2012-11-14 日本電信電話株式会社 乱数生成回路
US8250010B2 (en) * 2009-05-21 2012-08-21 International Business Machines Corporation Electronic learning synapse with spike-timing dependent plasticity using unipolar memory-switching elements
US8447714B2 (en) * 2009-05-21 2013-05-21 International Business Machines Corporation System for electronic learning synapse with spike-timing dependent plasticity using phase change memory
US8200593B2 (en) * 2009-07-20 2012-06-12 Corticaldb Inc Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network
US8515885B2 (en) * 2010-10-29 2013-08-20 International Business Machines Corporation Neuromorphic and synaptronic spiking neural network with synaptic weights learned using simulation

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009113993A1 (en) 2008-03-14 2009-09-17 Hewlett-Packard Development Company, L.P. Neuromorphic circuit

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Bernhard Nessler et al. STDP enables spiking neurons to detect hidden causes of their inputs. NIPS 2009, Vancouver, Canada, 2009. 12. 7-10. *
Bernhard Nessler et al. STDP enables spiking neurons to detect hidden causes of their inputs. NIPS 2009, Vancouver, Canada, 2009. 12. 7-10.*
Terry Elliott. Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity. Neural Computation, Vol.22, No.1, pp.244-272, 2009.12.11. *
Terry Elliott. Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity. Neural Computation, Vol.22, No.1, pp.244-272, 2009.12.11.*

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11250320B2 (en) 2017-05-25 2022-02-15 Samsung Electronics Co., Ltd. Neural network method and apparatus
US12511535B2 (en) 2017-05-25 2025-12-30 Samsung Electronics Co., Ltd. Neural network method and apparatus

Also Published As

Publication number Publication date
EP2591452A1 (en) 2013-05-15
WO2012054109A1 (en) 2012-04-26
KR20130036313A (ko) 2013-04-11
CN102959566A (zh) 2013-03-06
CN102959566B (zh) 2016-04-27
JP5680751B2 (ja) 2015-03-04
TW201209735A (en) 2012-03-01
US9129220B2 (en) 2015-09-08
JP2013534018A (ja) 2013-08-29
US20120011093A1 (en) 2012-01-12

Similar Documents

Publication Publication Date Title
US9129220B2 (en) Methods and systems for digital neural processing with discrete-level synapes and probabilistic STDP
JP2013534018A5 (enExample)
US8892485B2 (en) Methods and systems for neural processor training by encouragement of correct output
US10339447B2 (en) Configuring sparse neuronal networks
US9417845B2 (en) Method and apparatus for producing programmable probability distribution function of pseudo-random numbers
US8250011B2 (en) Autonomous learning dynamic artificial neural computing device and brain inspired system
US9330355B2 (en) Computed synapses for neuromorphic systems
US9558442B2 (en) Monitoring neural networks with shadow networks
KR20170041724A (ko) 비동기 펄스 변조를 이용한 인공 뉴런들 및 스파이킹 뉴런들
US9652711B2 (en) Analog signal reconstruction and recognition via sub-threshold modulation
US20150212861A1 (en) Value synchronization across neural processors
US20150088796A1 (en) Methods and apparatus for implementation of group tags for neural models
KR20160125967A (ko) 일반적인 뉴런 모델들의 효율적인 구현을 위한 방법 및 장치
JP6193509B2 (ja) 可塑性シナプス管理
US20150213356A1 (en) Method for converting values into spikes
US9460384B2 (en) Effecting modulation by global scalar values in a spiking neural network
US9449272B2 (en) Doppler effect processing in a neural network model
US9418332B2 (en) Post ghost plasticity
CA2926034A1 (en) Dynamically assigning and examining synaptic delay
Liu et al. Implementation of multiple-step quantized STDP based on novel memristive synapses
US20140365413A1 (en) Efficient implementation of neural population diversity in neural system
習則に関する研究 Circuits and an Adaptive Learning Rule for Biologically Plausible Silicon Neuronal Networks

Legal Events

Date Code Title Description
A201 Request for examination
PA0105 International application

St.27 status event code: A-0-1-A10-A15-nap-PA0105

PA0201 Request for examination

St.27 status event code: A-1-2-D10-D11-exm-PA0201

PG1501 Laying open of application

St.27 status event code: A-1-1-Q10-Q12-nap-PG1501

E902 Notification of reason for refusal
PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902

T11-X000 Administrative time limit extension requested

St.27 status event code: U-3-3-T10-T11-oth-X000

E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

E701 Decision to grant or registration of patent right
PE0701 Decision of registration

St.27 status event code: A-1-2-D10-D22-exm-PE0701

GRNT Written decision to grant
PR0701 Registration of establishment

St.27 status event code: A-2-4-F10-F11-exm-PR0701

PR1002 Payment of registration fee

St.27 status event code: A-2-2-U10-U12-oth-PR1002

Fee payment year number: 1

PG1601 Publication of registration

St.27 status event code: A-4-4-Q10-Q13-nap-PG1601

FPAY Annual fee payment

Payment date: 20170929

Year of fee payment: 4

PR1001 Payment of annual fee

St.27 status event code: A-4-4-U10-U11-oth-PR1001

Fee payment year number: 4

LAPS Lapse due to unpaid annual fee
PC1903 Unpaid annual fee

St.27 status event code: A-4-4-U10-U13-oth-PC1903

Not in force date: 20181122

Payment event data comment text: Termination Category : DEFAULT_OF_REGISTRATION_FEE

PC1903 Unpaid annual fee

St.27 status event code: N-4-6-H10-H13-oth-PC1903

Ip right cessation event data comment text: Termination Category : DEFAULT_OF_REGISTRATION_FEE

Not in force date: 20181122