JP5989792B2 - 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル構成要素メモリ転送 - Google Patents
無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル構成要素メモリ転送 Download PDFInfo
- Publication number
- JP5989792B2 JP5989792B2 JP2014541344A JP2014541344A JP5989792B2 JP 5989792 B2 JP5989792 B2 JP 5989792B2 JP 2014541344 A JP2014541344 A JP 2014541344A JP 2014541344 A JP2014541344 A JP 2014541344A JP 5989792 B2 JP5989792 B2 JP 5989792B2
- Authority
- JP
- Japan
- Prior art keywords
- pattern
- neurons
- neuron
- learning
- substantially similar
- 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
- G06N3/04—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
- G06N3/08—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
- G06N3/08—Learning methods
- G06N3/092—Reinforcement learning
-
- 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
- G06N3/096—Transfer learning
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (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)
- User Interface Of Digital Computer (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US13/292,175 US9424513B2 (en) | 2011-11-09 | 2011-11-09 | 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 |
| US13/292,175 | 2011-11-09 | ||
| PCT/US2012/064517 WO2013071160A1 (en) | 2011-11-09 | 2012-11-09 | Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: neural component memory transfer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2014535118A JP2014535118A (ja) | 2014-12-25 |
| JP5989792B2 true JP5989792B2 (ja) | 2016-09-07 |
Family
ID=47295178
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2014541344A Expired - Fee Related JP5989792B2 (ja) | 2011-11-09 | 2012-11-09 | 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル構成要素メモリ転送 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US9424513B2 (https=) |
| EP (1) | EP2776985A1 (https=) |
| JP (1) | JP5989792B2 (https=) |
| KR (1) | KR101755082B1 (https=) |
| CN (1) | CN103930907B (https=) |
| IN (1) | IN2014CN03069A (https=) |
| WO (1) | WO2013071160A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9424511B2 (en) | 2011-11-09 | 2016-08-23 | Qualcomm Incorporated | Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs |
| 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 |
| US9652711B2 (en) * | 2014-03-12 | 2017-05-16 | Qualcomm Incorporated | Analog signal reconstruction and recognition via sub-threshold modulation |
| US20150286925A1 (en) * | 2014-04-08 | 2015-10-08 | Qualcomm Incorporated | Modulating plasticity by global scalar values in a spiking neural network |
| US10740659B2 (en) * | 2017-12-14 | 2020-08-11 | International Business Machines Corporation | Fusing sparse kernels to approximate a full kernel of a convolutional neural network |
| EP4475437A3 (en) * | 2019-03-17 | 2025-02-26 | NParbor, Inc. | Method and apparatus for cross correlation |
| WO2020247309A1 (en) | 2019-06-02 | 2020-12-10 | Barton David Carl | Method and apparatus for shared cross-stream event detection |
| 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 |
| US11742901B2 (en) * | 2020-07-27 | 2023-08-29 | Electronics And Telecommunications Research Institute | Deep learning based beamforming method and apparatus |
Family Cites Families (17)
| 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 (ja) | 1996-12-26 | 2005-05-11 | 富士通株式会社 | 学習型自己定位装置 |
| 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 (ja) | 2003-12-26 | 2005-07-14 | Hiroshima Univ | 参照データ認識・学習方法及びパターン認識システム |
| EP2360629A3 (en) | 2005-05-07 | 2012-04-11 | Stephen L. Thaler | Device for the autonomous bootstrapping of useful information |
| JP4201012B2 (ja) | 2006-04-06 | 2008-12-24 | ソニー株式会社 | データ処理装置、データ処理方法、およびプログラム |
| 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 |
| 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 |
| US9424511B2 (en) | 2011-11-09 | 2016-08-23 | Qualcomm Incorporated | Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs |
| 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 |
-
2011
- 2011-11-09 US US13/292,175 patent/US9424513B2/en not_active Expired - Fee Related
-
2012
- 2012-11-09 WO PCT/US2012/064517 patent/WO2013071160A1/en not_active Ceased
- 2012-11-09 EP EP12795947.6A patent/EP2776985A1/en not_active Withdrawn
- 2012-11-09 KR KR1020147015335A patent/KR101755082B1/ko not_active Expired - Fee Related
- 2012-11-09 CN CN201280055199.7A patent/CN103930907B/zh not_active Expired - Fee Related
- 2012-11-09 IN IN3069CHN2014 patent/IN2014CN03069A/en unknown
- 2012-11-09 JP JP2014541344A patent/JP5989792B2/ja not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| KR20140092882A (ko) | 2014-07-24 |
| US9424513B2 (en) | 2016-08-23 |
| US20130117211A1 (en) | 2013-05-09 |
| CN103930907A (zh) | 2014-07-16 |
| KR101755082B1 (ko) | 2017-07-19 |
| EP2776985A1 (en) | 2014-09-17 |
| IN2014CN03069A (https=) | 2015-07-31 |
| WO2013071160A1 (en) | 2013-05-16 |
| JP2014535118A (ja) | 2014-12-25 |
| CN103930907B (zh) | 2017-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5934378B2 (ja) | 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:構造可塑性および構造制約モデリング | |
| JP5989791B2 (ja) | 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル連想学習、パターン補間、分離、一般化および階層的リプレイ | |
| JP5989792B2 (ja) | 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル構成要素メモリ転送 | |
| JP5989793B2 (ja) | 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:ニューラル構成要素リプレイ | |
| CN110110677B (zh) | 摄影图像中的眨眼和转移注视避免 | |
| KR20160138002A (ko) | 스파이킹 dbn (deep belief network) 에서의 트레이닝, 인식, 및 생성 | |
| JP2017507397A (ja) | 自動エラー訂正のための同時レイテンシおよびレートコーディング | |
| CN106104585A (zh) | 经由阈下调制的模拟信号重构和识别 | |
| US9269045B2 (en) | Auditory source separation in a spiking neural network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20151110 |
|
| A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20160210 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20160223 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20160712 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20160810 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 5989792 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
| LAPS | Cancellation because of no payment of annual fees |