JP2016532216A5 - - Google Patents
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- Publication number
- JP2016532216A5 JP2016532216A5 JP2016538956A JP2016538956A JP2016532216A5 JP 2016532216 A5 JP2016532216 A5 JP 2016532216A5 JP 2016538956 A JP2016538956 A JP 2016538956A JP 2016538956 A JP2016538956 A JP 2016538956A JP 2016532216 A5 JP2016532216 A5 JP 2016532216A5
- Authority
- JP
- Japan
- Prior art keywords
- artificial neural
- determination unit
- condition
- neural system
- breakpoint
- 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.)
- Pending
Links
- 230000001537 neural effect Effects 0.000 claims description 38
- 238000000034 method Methods 0.000 claims description 31
- 238000001514 detection method Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 8
- 210000002569 neuron Anatomy 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 230000001960 triggered effect Effects 0.000 claims description 3
- 238000012986 modification Methods 0.000 claims description 2
- 230000004048 modification Effects 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims 3
- 230000006870 function Effects 0.000 description 2
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201361873044P | 2013-09-03 | 2013-09-03 | |
| US61/873,044 | 2013-09-03 | ||
| US14/281,118 | 2014-05-19 | ||
| US14/281,118 US9710749B2 (en) | 2013-09-03 | 2014-05-19 | Methods and apparatus for implementing a breakpoint determination unit in an artificial nervous system |
| PCT/US2014/051044 WO2015034640A2 (en) | 2013-09-03 | 2014-08-14 | Methods and apparatus for implementing a breakpoint determination unit in an artificial nervous system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2016532216A JP2016532216A (ja) | 2016-10-13 |
| JP2016532216A5 true JP2016532216A5 (enExample) | 2017-08-31 |
Family
ID=52584658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2016538956A Pending JP2016532216A (ja) | 2013-09-03 | 2014-08-14 | 人工神経システムにおけるブレークポイント決定ユニットを実現するための方法および装置 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US9710749B2 (enExample) |
| EP (1) | EP3042343A2 (enExample) |
| JP (1) | JP2016532216A (enExample) |
| KR (1) | KR20160047581A (enExample) |
| CN (1) | CN105518721B (enExample) |
| CA (1) | CA2919718A1 (enExample) |
| WO (1) | WO2015034640A2 (enExample) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016183522A1 (en) * | 2015-05-14 | 2016-11-17 | Thalchemy Corporation | Neural sensor hub system |
| KR101806833B1 (ko) | 2015-12-31 | 2017-12-11 | 인천대학교 산학협력단 | 인공 신경망의 희소 활동을 활용하는 동기 직접 회로의 소비 전력 절감 장치 및 방법 |
| CN105956658A (zh) * | 2016-04-29 | 2016-09-21 | 北京比特大陆科技有限公司 | 数据处理方法、数据处理装置及芯片 |
| CN107545304A (zh) * | 2017-09-16 | 2018-01-05 | 胡明建 | 一种根据网络需求改变激活函数人工神经元的设计方法 |
| US11694066B2 (en) * | 2017-10-17 | 2023-07-04 | Xilinx, Inc. | Machine learning runtime library for neural network acceleration |
| CN110515754B (zh) * | 2018-05-22 | 2021-01-26 | 深圳云天励飞技术有限公司 | 神经网络处理器的调试系统及方法 |
| US11694090B2 (en) | 2019-04-10 | 2023-07-04 | International Business Machines Corporation | Debugging deep neural networks |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0782439B2 (ja) | 1990-01-26 | 1995-09-06 | インターナショナル・ビジネス・マシーンズ・コーポレイション | 推論エンジンの実行監視方法及び装置 |
| JP3178884B2 (ja) * | 1992-03-30 | 2001-06-25 | 株式会社東芝 | ニューラルネットワーク装置 |
| US6560592B1 (en) * | 1998-03-19 | 2003-05-06 | Micro Data Base Systems, Inc. | Multi-model computer database storage system with integrated rule engine |
| FR2824936B1 (fr) | 2001-05-16 | 2005-09-02 | Schneider Automation | Systeme de diagnostic predictif dans un automate programmable |
| JP4944368B2 (ja) * | 2004-06-08 | 2012-05-30 | キヤノン株式会社 | マルチプロセッサシステム、デバッグ方法、及びプログラム |
| US7634761B2 (en) | 2004-10-29 | 2009-12-15 | Microsoft Corporation | Breakpoint logging and constraint mechanisms for parallel computing systems |
| US7770155B2 (en) * | 2005-11-03 | 2010-08-03 | International Business Machines Corporation | Debugger apparatus and method for indicating time-correlated position of threads in a multi-threaded computer program |
| US20070130491A1 (en) | 2005-12-06 | 2007-06-07 | Mazumder Didarul A | Error detection of digital logic circuits using hierarchical neural networks |
| US9665822B2 (en) | 2010-06-30 | 2017-05-30 | International Business Machines Corporation | Canonical spiking neuron network for spatiotemporal associative memory |
| US8560474B2 (en) | 2011-03-07 | 2013-10-15 | Cisco Technology, Inc. | System and method for providing adaptive manufacturing diagnoses in a circuit board environment |
| KR101838560B1 (ko) | 2011-07-27 | 2018-03-15 | 삼성전자주식회사 | 뉴로모픽 칩에서 스파이크 이벤트를 송수신하는 송수신 장치 및 방법 |
| 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 |
-
2014
- 2014-05-19 US US14/281,118 patent/US9710749B2/en active Active
- 2014-08-14 CA CA2919718A patent/CA2919718A1/en active Pending
- 2014-08-14 CN CN201480048670.9A patent/CN105518721B/zh active Active
- 2014-08-14 WO PCT/US2014/051044 patent/WO2015034640A2/en not_active Ceased
- 2014-08-14 JP JP2016538956A patent/JP2016532216A/ja active Pending
- 2014-08-14 KR KR1020167008625A patent/KR20160047581A/ko not_active Withdrawn
- 2014-08-14 EP EP14756193.0A patent/EP3042343A2/en not_active Withdrawn
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