JP2016139420A5 - - Google Patents

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JP2016139420A5
JP2016139420A5 JP2016035857A JP2016035857A JP2016139420A5 JP 2016139420 A5 JP2016139420 A5 JP 2016139420A5 JP 2016035857 A JP2016035857 A JP 2016035857A JP 2016035857 A JP2016035857 A JP 2016035857A JP 2016139420 A5 JP2016139420 A5 JP 2016139420A5
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JP2016035857A
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JP2016139420A (ja
JP6117392B2 (ja
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JP2016035857A 2011-05-25 2016-02-26 １次視覚野単純細胞および他の神経回路の入力シナプスの教師なしトレーニングのための方法および装置 Active JP6117392B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/115,154 US8583577B2 (en) 2011-05-25 2011-05-25 Method and apparatus for unsupervised training of input synapses of primary visual cortex simple cells and other neural circuits
US13/115,154 2011-05-25

Related Parent Applications (1)

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JP2014512164A Division JP6113719B2 (ja) 2011-05-25 2012-05-25 １次視覚野単純細胞および他の神経回路の入力シナプスの教師なしトレーニングのための方法および装置

Publications (3)

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JP2016139420A JP2016139420A (ja) 2016-08-04
JP2016139420A5 true JP2016139420A5 (https=) 2017-02-09
JP6117392B2 JP6117392B2 (ja) 2017-04-19

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JP2014512164A Active JP6113719B2 (ja) 2011-05-25 2012-05-25 １次視覚野単純細胞および他の神経回路の入力シナプスの教師なしトレーニングのための方法および装置
JP2016035857A Active JP6117392B2 (ja) 2011-05-25 2016-02-26 １次視覚野単純細胞および他の神経回路の入力シナプスの教師なしトレーニングのための方法および装置

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JP2014512164A Active JP6113719B2 (ja) 2011-05-25 2012-05-25 １次視覚野単純細胞および他の神経回路の入力シナプスの教師なしトレーニングのための方法および装置

Country Status (6)

Country Link
US (1) US8583577B2 (https=)
EP (1) EP2715620B1 (https=)
JP (2) JP6113719B2 (https=)
KR (1) KR101549767B1 (https=)
CN (1) CN103548042B (https=)
WO (1) WO2012162663A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210134066A (ko) * 2016-08-03 2021-11-08 가부시키가이샤 한도오따이 에네루기 켄큐쇼 촬상 장치, 촬상 모듈, 전자 기기, 및 촬상 시스템
US11250316B2 (en) 2018-08-10 2022-02-15 International Business Machines Corporation Aggregate adjustments in a cross bar neural network
CN113160027A (zh) * 2020-01-23 2021-07-23 华为技术有限公司 一种图像处理模型训练方法及装置

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2900427B2 (ja) * 1989-09-18 1999-06-02 富士通株式会社 ニューラルネット
US5329610A (en) * 1992-05-19 1994-07-12 Intel Corporation Neural network employing absolute value calculating synapse
US5473730A (en) * 1993-11-09 1995-12-05 At&T Ipm Corp. High efficiency learning network
US7769513B2 (en) * 2002-09-03 2010-08-03 Automotive Technologies International, Inc. Image processing for vehicular applications applying edge detection technique
US5771312A (en) * 1996-07-01 1998-06-23 Ramot University Authority For Applied Research & Industrial Development Ltd. Method for automatic partial white balance correction
GB9902115D0 (en) * 1999-02-01 1999-03-24 Axeon Limited Neural networks
US6912307B2 (en) * 2001-02-07 2005-06-28 Ramot Fyt Tel Aviv University Ltd. Method for automatic color and intensity contrast adjustment of still and video images
US7711663B2 (en) * 2006-03-27 2010-05-04 Board Of Trustees Of Michigan State University Multi-layer development network having in-place learning
WO2007137047A2 (en) * 2006-05-16 2007-11-29 Greer Douglas S Modeling the neocortex
US9443141B2 (en) * 2008-06-02 2016-09-13 New York University Method, system, and computer-accessible medium for classification of at least one ICTAL state
US9129220B2 (en) * 2010-07-07 2015-09-08 Qualcomm Incorporated Methods and systems for digital neural processing with discrete-level synapes and probabilistic STDP
US9092736B2 (en) * 2010-07-07 2015-07-28 Qualcomm Incorporated Communication and synapse training method and hardware for biologically inspired networks
US8892485B2 (en) * 2010-07-08 2014-11-18 Qualcomm Incorporated Methods and systems for neural processor training by encouragement of correct output
US9129222B2 (en) * 2011-06-22 2015-09-08 Qualcomm Incorporated Method and apparatus for a local competitive learning rule that leads to sparse connectivity

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