BR112014019743A8 - Métodos e aparelho para computação neural pulsada - Google Patents

Métodos e aparelho para computação neural pulsada

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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
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certain aspects
delays
neuron model
learning
methods
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BR112014019743A
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BR112014019743A2 (pt
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Frank Hunzinger Jason
Aparin Vladimir
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Qualcomm Inc
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Publication of BR112014019743A8 publication Critical patent/BR112014019743A8/pt

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/049Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

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  • 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.
BR112014019743A 2012-02-08 2013-02-07 Métodos e aparelho para computação neural pulsada BR112014019743A8 (pt)

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

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BR112014019743A BR112014019743A8 (pt) 2012-02-08 2013-02-07 Métodos e aparelho para computação neural pulsada

Country Status (7)

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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)

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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

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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

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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.