JP2017507397A5 - - Google Patents

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Publication number
JP2017507397A5
JP2017507397A5 JP2016544506A JP2016544506A JP2017507397A5 JP 2017507397 A5 JP2017507397 A5 JP 2017507397A5 JP 2016544506 A JP2016544506 A JP 2016544506A JP 2016544506 A JP2016544506 A JP 2016544506A JP 2017507397 A5 JP2017507397 A5 JP 2017507397A5
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JP
Japan
Prior art keywords
spike
stimulus
train
artificial
spike train
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Pending
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JP2016544506A
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English (en)
Japanese (ja)
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JP2017507397A (ja
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Priority claimed from US14/279,375 external-priority patent/US10282660B2/en
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Publication of JP2017507397A publication Critical patent/JP2017507397A/ja
Publication of JP2017507397A5 publication Critical patent/JP2017507397A5/ja
Pending legal-status Critical Current

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JP2016544506A 2014-01-06 2014-12-19 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 Pending JP2017507397A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201461924074P 2014-01-06 2014-01-06
US61/924,074 2014-01-06
US14/279,375 US10282660B2 (en) 2014-01-06 2014-05-16 Simultaneous latency and rate coding for automatic error correction
US14/279,375 2014-05-16
PCT/US2014/071372 WO2015102935A2 (en) 2014-01-06 2014-12-19 Simultaneous latency and rate coding for automatic error correction

Publications (2)

Publication Number Publication Date
JP2017507397A JP2017507397A (ja) 2017-03-16
JP2017507397A5 true JP2017507397A5 (enExample) 2018-01-11

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
JP2016544506A Pending JP2017507397A (ja) 2014-01-06 2014-12-19 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

Country Status (6)

Country Link
US (1) US10282660B2 (enExample)
EP (1) EP3092605A2 (enExample)
JP (1) JP2017507397A (enExample)
CN (1) CN105874478A (enExample)
TW (1) TW201539336A (enExample)
WO (1) WO2015102935A2 (enExample)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10671912B2 (en) * 2016-09-13 2020-06-02 Sap Se Spatio-temporal spiking neural networks in neuromorphic hardware systems
CN108304912B (zh) * 2017-12-29 2020-12-29 北京理工大学 一种运用抑制信号实现脉冲神经网络监督学习的系统和方法
CN109948788B (zh) * 2019-03-07 2021-01-15 清华大学 基于fpga的神经网络加速器
RU195230U1 (ru) * 2019-08-07 2020-01-17 Федеральное государственное бюджетное научное учреждение "Научный центр неврологии" (ФГБНУ НЦН) Тренажер-квадрат с линейными и квадратными углублениями для групповых занятий по восстановлению и профилактической тренировке зрительно-пространственной памяти
CN110647982B (zh) * 2019-09-26 2022-04-15 中国科学院微电子研究所 人工感受神经电路及其制备方法
KR102795609B1 (ko) 2019-11-25 2025-04-15 삼성전자주식회사 뉴로모픽 장치 및 이를 포함하는 뉴로모픽 시스템
FR3111455A1 (fr) * 2020-06-16 2021-12-17 Stmicroelectronics Sa Codage d’un flux de données
CN114528983B (zh) * 2021-12-29 2025-08-29 北京时代民芯科技有限公司 一种脉冲神经元加固电路、加固方法
CN116468086A (zh) * 2022-01-11 2023-07-21 北京灵汐科技有限公司 数据处理方法及装置、电子设备、计算机可读介质

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5107442A (en) * 1989-01-12 1992-04-21 Recognition Equipment Incorporated Adaptive neural network image processing system
US6581046B1 (en) * 1997-10-10 2003-06-17 Yeda Research And Development Co. Ltd. Neuronal phase-locked loops
US7442212B2 (en) * 2001-01-12 2008-10-28 The United States Of America As Represented By The Department Of Health And Human Services Decoding algorithm for neuronal responses
JP4248187B2 (ja) 2002-03-27 2009-04-02 シャープ株式会社 集積回路装置及びニューロ素子
US7430546B1 (en) * 2003-06-07 2008-09-30 Roland Erwin Suri Applications of an algorithm that mimics cortical processing
JP4780921B2 (ja) 2004-03-17 2011-09-28 キヤノン株式会社 並列パルス信号処理装置、及びその制御方法
US7395251B2 (en) 2005-07-01 2008-07-01 International Business Machines Corporation Neural networks for prediction and control
WO2008039331A1 (en) * 2006-09-22 2008-04-03 The Trustees Of The University Of Pennsylvania Classification of sub cortical structures
US8504502B2 (en) 2007-11-20 2013-08-06 Christopher Fiorillo Prediction by single neurons
US20130203027A1 (en) * 2010-06-28 2013-08-08 The Regents Of The University Of California Adaptive Set Discrimination Procedure
US10448877B2 (en) * 2010-12-05 2019-10-22 Brown University Methods for prediction and early detection of neurological events
US9964433B2 (en) * 2011-02-09 2018-05-08 The Trustees Of Dartmouth College Acoustic sensor with an acoustic object detector for reducing power consumption in front-end circuit
US9047568B1 (en) * 2012-09-20 2015-06-02 Brain Corporation Apparatus and methods for encoding of sensory data using artificial spiking neurons
US20130151450A1 (en) * 2011-12-07 2013-06-13 Filip Ponulak Neural network apparatus and methods for signal conversion
US9256215B2 (en) 2012-07-27 2016-02-09 Brain Corporation Apparatus and methods for generalized state-dependent learning in spiking neuron networks
US9367798B2 (en) 2012-09-20 2016-06-14 Brain Corporation Spiking neuron network adaptive control apparatus and methods
US9189730B1 (en) * 2012-09-20 2015-11-17 Brain Corporation Modulated stochasticity spiking neuron network controller apparatus and methods
US9111226B2 (en) * 2012-10-25 2015-08-18 Brain Corporation Modulated plasticity apparatus and methods for spiking neuron network
US9177245B2 (en) * 2013-02-08 2015-11-03 Qualcomm Technologies Inc. Spiking network apparatus and method with bimodal spike-timing dependent plasticity

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