KR101549767B1 - 일차 시각 피질 단순 세포 및 다른 신경 회로의 입력 시냅스의 자율 트레이닝 방법 및 장치 - Google Patents
일차 시각 피질 단순 세포 및 다른 신경 회로의 입력 시냅스의 자율 트레이닝 방법 및 장치 Download PDFInfo
- Publication number
- KR101549767B1 KR101549767B1 KR1020137034213A KR20137034213A KR101549767B1 KR 101549767 B1 KR101549767 B1 KR 101549767B1 KR 1020137034213 A KR1020137034213 A KR 1020137034213A KR 20137034213 A KR20137034213 A KR 20137034213A KR 101549767 B1 KR101549767 B1 KR 101549767B1
- Authority
- KR
- South Korea
- Prior art keywords
- sum
- rgc
- output
- circuits
- sign
- 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
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
- G06N3/06—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
- G06N3/06—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
- G06N3/065—Analogue means
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Theoretical Computer Science (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Neurology (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Heterocyclic Carbon Compounds Containing A Hetero Ring Having Oxygen Or Sulfur (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US13/115,154 US8583577B2 (en) | 2011-05-25 | 2011-05-25 | Method and apparatus for unsupervised training of input synapses of primary visual cortex simple cells and other neural circuits |
| US13/115,154 | 2011-05-25 | ||
| PCT/US2012/039704 WO2012162663A1 (en) | 2011-05-25 | 2012-05-25 | Method and apparatus for unsupervised training of input synapses of primary visual cortex simple cells and other neural circuits |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20140027415A KR20140027415A (ko) | 2014-03-06 |
| KR101549767B1 true KR101549767B1 (ko) | 2015-09-02 |
Family
ID=46208849
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020137034213A Expired - Fee Related KR101549767B1 (ko) | 2011-05-25 | 2012-05-25 | 일차 시각 피질 단순 세포 및 다른 신경 회로의 입력 시냅스의 자율 트레이닝 방법 및 장치 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US8583577B2 (https=) |
| EP (1) | EP2715620B1 (https=) |
| JP (2) | JP6113719B2 (https=) |
| KR (1) | KR101549767B1 (https=) |
| CN (1) | CN103548042B (https=) |
| WO (1) | WO2012162663A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210134066A (ko) * | 2016-08-03 | 2021-11-08 | 가부시키가이샤 한도오따이 에네루기 켄큐쇼 | 촬상 장치, 촬상 모듈, 전자 기기, 및 촬상 시스템 |
| US11250316B2 (en) | 2018-08-10 | 2022-02-15 | International Business Machines Corporation | Aggregate adjustments in a cross bar neural network |
| CN113160027A (zh) * | 2020-01-23 | 2021-07-23 | 华为技术有限公司 | 一种图像处理模型训练方法及装置 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2900427B2 (ja) * | 1989-09-18 | 1999-06-02 | 富士通株式会社 | ニューラルネット |
| US5329610A (en) * | 1992-05-19 | 1994-07-12 | Intel Corporation | Neural network employing absolute value calculating synapse |
| US5473730A (en) * | 1993-11-09 | 1995-12-05 | At&T Ipm Corp. | High efficiency learning network |
| US7769513B2 (en) * | 2002-09-03 | 2010-08-03 | Automotive Technologies International, Inc. | Image processing for vehicular applications applying edge detection technique |
| US5771312A (en) * | 1996-07-01 | 1998-06-23 | Ramot University Authority For Applied Research & Industrial Development Ltd. | Method for automatic partial white balance correction |
| GB9902115D0 (en) * | 1999-02-01 | 1999-03-24 | Axeon Limited | Neural networks |
| US6912307B2 (en) * | 2001-02-07 | 2005-06-28 | Ramot Fyt Tel Aviv University Ltd. | Method for automatic color and intensity contrast adjustment of still and video images |
| US7711663B2 (en) * | 2006-03-27 | 2010-05-04 | Board Of Trustees Of Michigan State University | Multi-layer development network having in-place learning |
| WO2007137047A2 (en) * | 2006-05-16 | 2007-11-29 | Greer Douglas S | Modeling the neocortex |
| US9443141B2 (en) * | 2008-06-02 | 2016-09-13 | New York University | Method, system, and computer-accessible medium for classification of at least one ICTAL state |
| US9129220B2 (en) * | 2010-07-07 | 2015-09-08 | Qualcomm Incorporated | Methods and systems for digital neural processing with discrete-level synapes and probabilistic STDP |
| US9092736B2 (en) * | 2010-07-07 | 2015-07-28 | Qualcomm Incorporated | Communication and synapse training method and hardware for biologically inspired networks |
| US8892485B2 (en) * | 2010-07-08 | 2014-11-18 | Qualcomm Incorporated | Methods and systems for neural processor training by encouragement of correct output |
| US9129222B2 (en) * | 2011-06-22 | 2015-09-08 | Qualcomm Incorporated | Method and apparatus for a local competitive learning rule that leads to sparse connectivity |
-
2011
- 2011-05-25 US US13/115,154 patent/US8583577B2/en active Active
-
2012
- 2012-05-25 JP JP2014512164A patent/JP6113719B2/ja active Active
- 2012-05-25 WO PCT/US2012/039704 patent/WO2012162663A1/en not_active Ceased
- 2012-05-25 CN CN201280024956.4A patent/CN103548042B/zh active Active
- 2012-05-25 KR KR1020137034213A patent/KR101549767B1/ko not_active Expired - Fee Related
- 2012-05-25 EP EP12725998.4A patent/EP2715620B1/en active Active
-
2016
- 2016-02-26 JP JP2016035857A patent/JP6117392B2/ja active Active
Non-Patent Citations (2)
| Title |
|---|
| Andras Roka et al. Edge Detection Model Based on Involuntary Eye Movements of the Eye-Retina System. Acta Polytechnica Hungarica, Vol. 4, No. 1, pp.31-45, 2007.01.* |
| Andrew Cassidy et al. A combinational digital logic approach to STDP. Circuits and Systems(ISCAS), 2011 IEEE International Symposium on, pp.673-676, 2011.05.15.* |
Also Published As
| Publication number | Publication date |
|---|---|
| EP2715620B1 (en) | 2016-12-14 |
| WO2012162663A1 (en) | 2012-11-29 |
| US20120303566A1 (en) | 2012-11-29 |
| JP2016139420A (ja) | 2016-08-04 |
| EP2715620A1 (en) | 2014-04-09 |
| JP2014517973A (ja) | 2014-07-24 |
| US8583577B2 (en) | 2013-11-12 |
| JP6113719B2 (ja) | 2017-04-12 |
| JP6117392B2 (ja) | 2017-04-19 |
| CN103548042A (zh) | 2014-01-29 |
| KR20140027415A (ko) | 2014-03-06 |
| CN103548042B (zh) | 2016-08-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8892485B2 (en) | Methods and systems for neural processor training by encouragement of correct output | |
| Panda et al. | Asp: Learning to forget with adaptive synaptic plasticity in spiking neural networks | |
| US9418331B2 (en) | Methods and apparatus for tagging classes using supervised learning | |
| KR101549796B1 (ko) | 스파스 접속성을 야기하는 로컬 경쟁 학습 규칙을 위한 방법 및 장치 | |
| KR20160123309A (ko) | 확률적 스파이킹 베이지안망들에 대한 이벤트-기반 추론 및 학습 | |
| Fitzgerald et al. | Nonlinear circuits for naturalistic visual motion estimation | |
| KR20170031695A (ko) | 신경망들에서의 콘볼루션 동작의 분해 | |
| TW201602807A (zh) | Cold神經元尖峰時序反向傳播 | |
| WO2013130872A1 (en) | Method and apparatus for modeling neural resource based synaptic placticity | |
| KR20160010477A (ko) | 스파이킹 네트워크들의 효율적인 하드웨어 구현 | |
| US9652711B2 (en) | Analog signal reconstruction and recognition via sub-threshold modulation | |
| US9361545B2 (en) | Methods and apparatus for estimating angular movement with a single two dimensional device | |
| CN110826437A (zh) | 基于生物神经网络的智能机器人控制方法、系统、装置 | |
| JP2017514215A (ja) | スパイキングニューラルネットワークを使用する画像の不変オブジェクト表現 | |
| KR101549767B1 (ko) | 일차 시각 피질 단순 세포 및 다른 신경 회로의 입력 시냅스의 자율 트레이닝 방법 및 장치 | |
| Schuman et al. | Variable structure dynamic artificial neural networks | |
| Zins et al. | Reproducing fear conditioning of rats with unmanned ground vehicles and neuromorphic systems | |
| US8843426B2 (en) | Method and apparatus of primary visual cortex simple cell training and operation | |
| Dorogyy et al. | Designing spiking neural networks | |
| Meyer et al. | Verilog-A model of ferroelectric memristors dedicated to neuromorphic design | |
| Barbier | Autonomous learning in a neuromorphic vision system: an active efficient coding spiking model applied to vision | |
| Vaila et al. | Spiking CNNs with PYNN and NEURON | |
| Lin et al. | A metaheuristic optimization algorithm for unsupervised robotic learning | |
| Thurein | Design and Analysis of Leaky Integrate-and-Fire and Memristive Integrate-and-Fire Neural Networks | |
| Siddique | The Integration of Neuromorphic Computing in Autonomous Robotic Systems |
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 |
|
| 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 |
|
| 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: 20180828 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: 20180828 |
|
| P22-X000 | Classification modified |
St.27 status event code: A-4-4-P10-P22-nap-X000 |