BR112014019743A8 - Métodos e aparelho para computação neural pulsada - Google Patents
Métodos e aparelho para computação neural pulsadaInfo
- Publication number
- BR112014019743A8 BR112014019743A8 BR112014019743A BR112014019743A BR112014019743A8 BR 112014019743 A8 BR112014019743 A8 BR 112014019743A8 BR 112014019743 A BR112014019743 A BR 112014019743A BR 112014019743 A BR112014019743 A BR 112014019743A BR 112014019743 A8 BR112014019743 A8 BR 112014019743A8
- Authority
- BR
- Brazil
- Prior art keywords
- certain aspects
- delays
- neuron model
- learning
- methods
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
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)
- Feedback Control In General (AREA)
Abstract
MÉTODOS E APARELHO PARA COMPUTAÇÃO NEURAL PULSADA. Determinados aspectos da presente revelação fornecem métodos e aparelho para a computação neural pulsada de sistemas lineares gerais. Um aspecto exemplificativo é um modelo de neurônio que codifica informações na temporização relativa entre pulsos. Entretanto, os pesos sinápticos são desnecessários. Em outras palavras, uma conexão pode tanto existir (sinapse significativa) ou não (sinapse não significativa ou não existente) . Determinados aspectos da presente revelação usam entradas e saídas com valor binário e não exigem filtragem pós-sináptica. Entretanto, determinados aspectos podem envolver modelagem de atrasos de conexão (por exemplo, atrasos dendríticos). Um único modelo de neurônio pode ser usado para computar qualquer transformação linear geral x = AX + BU para qualquer precisão arbitrária. Esse modelo de neurônio também pode ter a capacidade de aprendizado, tal como atrasos de entrada de aprendizado (por exemplo, que correspondem a valores de escalonamento) para alcançar um atraso de saída alvo (ou valor de saída). O aprendizado também pode ser usado para determinar uma relação lógica de entradas causais.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/368,994 US9111225B2 (en) | 2012-02-08 | 2012-02-08 | Methods and apparatus for spiking neural computation |
PCT/US2013/025210 WO2013119861A1 (en) | 2012-02-08 | 2013-02-07 | Methods and apparatus for spiking neural computation |
Publications (2)
Publication Number | Publication Date |
---|---|
BR112014019743A2 BR112014019743A2 (pt) | 2017-06-20 |
BR112014019743A8 true BR112014019743A8 (pt) | 2017-07-11 |
Family
ID=47754984
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112014019743A BR112014019743A8 (pt) | 2012-02-08 | 2013-02-07 | Métodos e aparelho para computação neural pulsada |
Country Status (7)
Country | Link |
---|---|
US (1) | US9111225B2 (pt) |
EP (1) | EP2812853A1 (pt) |
JP (1) | JP6272784B2 (pt) |
KR (1) | KR20140129067A (pt) |
CN (1) | CN104094295B (pt) |
BR (1) | BR112014019743A8 (pt) |
WO (1) | WO2013119861A1 (pt) |
Families Citing this family (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9367797B2 (en) | 2012-02-08 | 2016-06-14 | Jason Frank Hunzinger | Methods and apparatus for spiking neural computation |
US9208431B2 (en) | 2012-05-10 | 2015-12-08 | Qualcomm Incorporated | Method and apparatus for strategic synaptic failure and learning in spiking neural networks |
US9015096B2 (en) * | 2012-05-30 | 2015-04-21 | Qualcomm Incorporated | Continuous time spiking neural network event-based simulation that schedules co-pending events using an indexable list of nodes |
US9369340B2 (en) * | 2013-06-30 | 2016-06-14 | Jive Software, Inc. | User-centered engagement analysis |
US9275329B2 (en) * | 2013-08-12 | 2016-03-01 | Qualcomm Incorporated | Behavioral homeostasis in artificial nervous systems using dynamical spiking neuron models |
US10339447B2 (en) * | 2014-01-23 | 2019-07-02 | Qualcomm Incorporated | Configuring sparse neuronal networks |
US9269045B2 (en) * | 2014-02-14 | 2016-02-23 | Qualcomm Incorporated | Auditory source separation in a spiking neural network |
US9536189B2 (en) | 2014-02-20 | 2017-01-03 | Qualcomm Incorporated | Phase-coding for coordinate transformation |
US20150242745A1 (en) * | 2014-02-21 | 2015-08-27 | Qualcomm Incorporated | Event-based inference and learning for stochastic spiking bayesian networks |
US9672464B2 (en) * | 2014-02-28 | 2017-06-06 | Qualcomm Incorporated | Method and apparatus for efficient implementation of common neuron models |
US20150269485A1 (en) * | 2014-03-24 | 2015-09-24 | Qualcomm Incorporated | Cold neuron spike timing back-propagation |
US10783900B2 (en) * | 2014-10-03 | 2020-09-22 | Google Llc | Convolutional, long short-term memory, fully connected deep neural networks |
US11126913B2 (en) * | 2015-07-23 | 2021-09-21 | Applied Brain Research Inc | Methods and systems for implementing deep spiking neural networks |
US10671912B2 (en) * | 2016-09-13 | 2020-06-02 | Sap Se | Spatio-temporal spiking neural networks in neuromorphic hardware systems |
US11037054B2 (en) | 2016-12-20 | 2021-06-15 | Intel Corporation | Trace-based neuromorphic architecture for advanced learning |
CN106875004B (zh) * | 2017-01-20 | 2019-09-10 | 北京灵汐科技有限公司 | 复合模式神经元信息处理方法和系统 |
US10107959B2 (en) | 2017-02-02 | 2018-10-23 | International Business Machines Corporation | Waveguide architecture for photonic neural component |
US10031287B1 (en) | 2017-02-02 | 2018-07-24 | International Business Machines Corporation | Waveguide architecture for photonic neural component with multiplexed optical signals on inter-node waveguides |
KR102091498B1 (ko) * | 2018-06-11 | 2020-03-24 | 고려대학교 산학협력단 | 비지도 학습장치 및 그 학습방법 |
US11200484B2 (en) | 2018-09-06 | 2021-12-14 | International Business Machines Corporation | Probability propagation over factor graphs |
KR101951914B1 (ko) * | 2018-10-08 | 2019-02-26 | 넷마블 주식회사 | 데이터 변화의 검출 및 표시를 위한 장치 및 방법 |
JP7108570B2 (ja) | 2019-04-01 | 2022-07-28 | 出光興産株式会社 | 流動接触分解ガソリンの製造方法 |
KR20210083624A (ko) | 2019-12-27 | 2021-07-07 | 삼성전자주식회사 | 신경망의 데이터 입력 및 출력을 제어하는 제어 방법 및 장치 |
KR102339485B1 (ko) * | 2020-06-30 | 2021-12-15 | 강원대학교산학협력단 | 인공신경망을 이용한 아크신호 검출방법 |
CN114254106A (zh) * | 2020-09-25 | 2022-03-29 | 北京灵汐科技有限公司 | 文本分类方法、装置、设备及存储介质 |
KR102637568B1 (ko) * | 2020-11-23 | 2024-02-19 | 충북대학교 산학협력단 | 스파이킹 뉴럴 네트워크를 최적화하는 방법 및 장치 |
CN114997391B (zh) * | 2022-08-02 | 2022-11-29 | 深圳时识科技有限公司 | 电子神经系统中的泄露方法、芯片及电子设备 |
Family Cites Families (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5355434A (en) * | 1991-08-19 | 1994-10-11 | Toyoda Koki Kabushiki Kaisha | Method and apparatus for performing learning in a neural network |
JPH07262157A (ja) * | 1994-03-17 | 1995-10-13 | Kumamoto Techno Porisu Zaidan | ニューラルネットワークおよびそのための回路 |
IL133384A0 (en) * | 1997-06-11 | 2001-04-30 | Univ Southern California | Dynamic synapse for signal processing in neural networks |
US6581046B1 (en) | 1997-10-10 | 2003-06-17 | Yeda Research And Development Co. Ltd. | Neuronal phase-locked loops |
JP4392089B2 (ja) | 1999-05-27 | 2009-12-24 | 株式会社デンソー | ニューロン、当該ニューロンを用いて構成された階層型ニューラルネットワーク及び当該ニューロン内部での乗算処理に用いられる乗算回路 |
US6618712B1 (en) | 1999-05-28 | 2003-09-09 | Sandia Corporation | Particle analysis using laser ablation mass spectroscopy |
US7430546B1 (en) | 2003-06-07 | 2008-09-30 | Roland Erwin Suri | Applications of an algorithm that mimics cortical processing |
WO2005007075A2 (en) | 2003-07-21 | 2005-01-27 | Ai-Semi Ltd. | Adaptive resynchronization therapy system |
EP1515270A1 (en) * | 2003-09-09 | 2005-03-16 | Semeion | An artificial neural network |
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 |
WO2009027980A1 (en) | 2007-08-28 | 2009-03-05 | Yissum Research Development Company Of The Hebrew University Of Jerusalem | Method, device and system for speech recognition |
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 |
US20100312736A1 (en) | 2009-06-05 | 2010-12-09 | The Regents Of The University Of California | Critical Branching Neural Computation Apparatus and Methods |
US8467623B2 (en) * | 2010-03-26 | 2013-06-18 | Brain Corporation | Invariant pulse latency coding systems and methods systems and methods |
US20130204814A1 (en) | 2012-02-08 | 2013-08-08 | Qualcomm Incorporated | Methods and apparatus for spiking neural computation |
US9367797B2 (en) | 2012-02-08 | 2016-06-14 | Jason Frank Hunzinger | Methods and apparatus for spiking neural computation |
-
2012
- 2012-02-08 US US13/368,994 patent/US9111225B2/en not_active Expired - Fee Related
-
2013
- 2013-02-07 BR BR112014019743A patent/BR112014019743A8/pt not_active IP Right Cessation
- 2013-02-07 CN CN201380008278.7A patent/CN104094295B/zh not_active Expired - Fee Related
- 2013-02-07 JP JP2014556690A patent/JP6272784B2/ja active Active
- 2013-02-07 WO PCT/US2013/025210 patent/WO2013119861A1/en active Application Filing
- 2013-02-07 EP EP13706808.6A patent/EP2812853A1/en not_active Withdrawn
- 2013-02-07 KR KR20147024203A patent/KR20140129067A/ko not_active Application Discontinuation
Also Published As
Publication number | Publication date |
---|---|
CN104094295B (zh) | 2017-05-31 |
US20130204819A1 (en) | 2013-08-08 |
WO2013119861A1 (en) | 2013-08-15 |
BR112014019743A2 (pt) | 2017-06-20 |
JP6272784B2 (ja) | 2018-01-31 |
EP2812853A1 (en) | 2014-12-17 |
JP2015510193A (ja) | 2015-04-02 |
CN104094295A (zh) | 2014-10-08 |
KR20140129067A (ko) | 2014-11-06 |
US9111225B2 (en) | 2015-08-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
BR112014019745A8 (pt) | Métodos e aparelho para computação neural pulsada | |
BR112014019743A8 (pt) | Métodos e aparelho para computação neural pulsada | |
EP4242924A3 (en) | Low-power ambient computing system with machine learning | |
WO2015030606A3 (en) | Improved method and system for predicting outcomes based on spatio / spectro-temporal data | |
MX367603B (es) | Análisis discriminante usado con dispositivos informáticos ópticos. | |
BR112015020394A2 (pt) | método para segurança de um primeiro programa, e, produto de software de computador | |
WO2013188788A3 (en) | Learning spike timing precision | |
IE20210178A3 (en) | Machine Learning Techniques For Predictive Prioritization | |
IN2014MU03584A (en) | Laser scan re-engineering of 3d cad models | |
IN2013MU02122A (pt) | ||
WO2014142777A3 (en) | Np-processor | |
Jug et al. | Spiking networks and their rate-based equivalents: does it make sense to use Siegert neurons? | |
Gültekin et al. | On solution of two-point fuzzy boundary value problems | |
Šarloši et al. | Deterministic chaos | |
RU2015124059A (ru) | Интерактивная автоматизированная система обучения | |
Fries et al. | Virtual Truck–A method for customer oriented commercial vehicle simulation | |
GB2569710A (en) | Hierarchical temporal memory system | |
Toth et al. | Analysis of synaptic action in stochastic interpolation model of the auditory brainstem | |
Kasperek et al. | Assessing process sequences in engineering design by dsm-based system dynamics simulation | |
Guo et al. | The global attractors for a nonlinear viscoelastic wave equation with strong damping and linear damping and source terms | |
Kurilov et al. | Concept of economic cycles | |
Warrender et al. | Neuroxyce: a highly parallelized simulator for biologically realistic neural networks | |
Maurer | Introduction to four articles on sensitive periods | |
Savina et al. | About new modification of Petri nets with dynamic weights of tokens | |
Kourtzidis | Construction of two-stage DEA models and economic applications |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
B06F | Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette] | ||
B08F | Application dismissed because of non-payment of annual fees [chapter 8.6 patent gazette] |
Free format text: REFERENTE A 7A ANUIDADE. |
|
B06U | Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette] | ||
B08K | Patent lapsed as no evidence of payment of the annual fee has been furnished to inpi [chapter 8.11 patent gazette] |
Free format text: EM VIRTUDE DO ARQUIVAMENTO PUBLICADO NA RPI 2552 DE 03-12-2019 E CONSIDERANDO AUSENCIA DE MANIFESTACAO DENTRO DOS PRAZOS LEGAIS, INFORMO QUE CABE SER MANTIDO O ARQUIVAMENTO DO PEDIDO DE PATENTE, CONFORME O DISPOSTO NO ARTIGO 12, DA RESOLUCAO 113/2013. |