KR101782760B1 - 시냅스 지연의 동적 할당 및 검사 - Google Patents
시냅스 지연의 동적 할당 및 검사 Download PDFInfo
- Publication number
- KR101782760B1 KR101782760B1 KR1020167012560A KR20167012560A KR101782760B1 KR 101782760 B1 KR101782760 B1 KR 101782760B1 KR 1020167012560 A KR1020167012560 A KR 1020167012560A KR 20167012560 A KR20167012560 A KR 20167012560A KR 101782760 B1 KR101782760 B1 KR 101782760B1
- Authority
- KR
- South Korea
- Prior art keywords
- synapse
- delay parameter
- dynamically
- synapses
- delay
- 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
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Classifications
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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
- G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
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- 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
-
- 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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- 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)
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 (2)
| Publication Number | Publication Date |
|---|---|
| KR20160071437A KR20160071437A (ko) | 2016-06-21 |
| KR101782760B1 true KR101782760B1 (ko) | 2017-09-27 |
Family
ID=51492476
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020167012560A Expired - Fee Related KR101782760B1 (ko) | 2013-10-17 | 2014-08-21 | 시냅스 지연의 동적 할당 및 검사 |
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)
| 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 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130073501A1 (en) | 2011-09-21 | 2013-03-21 | Qualcomm Incorporated | Method and apparatus for structural delay plasticity in spiking neural networks |
| US20130073491A1 (en) | 2011-09-21 | 2013-03-21 | Eugene M. Izhikevich | Apparatus and methods for synaptic update in a pulse-coded network |
Family Cites Families (5)
| 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 |
| WO2006126185A2 (en) | 2005-05-27 | 2006-11-30 | A.I. Medical Semiconductor | 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 |
| US8725662B2 (en) | 2011-09-21 | 2014-05-13 | Brain Corporation | Apparatus and method for partial evaluation of synaptic updates based on system events |
-
2013
- 2013-10-17 US US14/056,856 patent/US9536190B2/en not_active Expired - Fee Related
-
2014
- 2014-08-21 JP JP2016523259A patent/JP6219509B2/ja active Active
- 2014-08-21 CA CA2926034A patent/CA2926034A1/en not_active Abandoned
- 2014-08-21 EP EP14759414.7A patent/EP3058517A1/en not_active Ceased
- 2014-08-21 KR KR1020167012560A patent/KR101782760B1/ko not_active Expired - Fee Related
- 2014-08-21 CN CN201480056520.2A patent/CN105659260B/zh active Active
- 2014-08-21 WO PCT/US2014/052157 patent/WO2015057305A1/en not_active Ceased
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130073501A1 (en) | 2011-09-21 | 2013-03-21 | Qualcomm Incorporated | Method and apparatus for structural delay plasticity in spiking neural networks |
| US20130073491A1 (en) | 2011-09-21 | 2013-03-21 | Eugene M. Izhikevich | Apparatus and methods for synaptic update in a pulse-coded network |
Non-Patent Citations (1)
| Title |
|---|
| Schrauwen, Benjamin, and Jan Van Campenhout. "Extending spikeprop." Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on. Vol. 1. IEEE, 2004. |
Also Published As
| Publication number | Publication date |
|---|---|
| US20150112908A1 (en) | 2015-04-23 |
| EP3058517A1 (en) | 2016-08-24 |
| CN105659260A (zh) | 2016-06-08 |
| JP2016537712A (ja) | 2016-12-01 |
| WO2015057305A1 (en) | 2015-04-23 |
| CN105659260B (zh) | 2018-06-29 |
| CA2926034A1 (en) | 2015-04-23 |
| KR20160071437A (ko) | 2016-06-21 |
| US9536190B2 (en) | 2017-01-03 |
| JP6219509B2 (ja) | 2017-10-25 |
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