JP2014535116A5 - - Google Patents

Download PDF

Info

Publication number
JP2014535116A5
JP2014535116A5 JP2014541339A JP2014541339A JP2014535116A5 JP 2014535116 A5 JP2014535116 A5 JP 2014535116A5 JP 2014541339 A JP2014541339 A JP 2014541339A JP 2014541339 A JP2014541339 A JP 2014541339A JP 2014535116 A5 JP2014535116 A5 JP 2014535116A5
Authority
JP
Japan
Prior art keywords
neurons
neuron
delay
afferent
pattern
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.)
Granted
Application number
JP2014541339A
Other languages
English (en)
Japanese (ja)
Other versions
JP5934378B2 (ja
JP2014535116A (ja
Filing date
Publication date
Priority claimed from US13/292,191 external-priority patent/US9015091B2/en
Application filed filed Critical
Publication of JP2014535116A publication Critical patent/JP2014535116A/ja
Publication of JP2014535116A5 publication Critical patent/JP2014535116A5/ja
Application granted granted Critical
Publication of JP5934378B2 publication Critical patent/JP5934378B2/ja
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2014541339A 2011-11-09 2012-11-09 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:構造可塑性および構造制約モデリング Expired - Fee Related JP5934378B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/292,191 2011-11-09
US13/292,191 US9015091B2 (en) 2011-11-09 2011-11-09 Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling
PCT/US2012/064506 WO2013071149A1 (en) 2011-11-09 2012-11-09 Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling

Publications (3)

Publication Number Publication Date
JP2014535116A JP2014535116A (ja) 2014-12-25
JP2014535116A5 true JP2014535116A5 (enExample) 2015-07-23
JP5934378B2 JP5934378B2 (ja) 2016-06-15

Family

ID=47216427

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2014541339A Expired - Fee Related JP5934378B2 (ja) 2011-11-09 2012-11-09 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:構造可塑性および構造制約モデリング

Country Status (6)

Country Link
US (1) US9015091B2 (enExample)
EP (1) EP2776984A1 (enExample)
JP (1) JP5934378B2 (enExample)
KR (1) KR101582061B1 (enExample)
CN (1) CN103930910B (enExample)
WO (1) WO2013071149A1 (enExample)

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9443190B2 (en) 2011-11-09 2016-09-13 Qualcomm Incorporated Methods and apparatus for neural pattern sequence completion and neural pattern hierarchical replay by invoking replay of a referenced neural pattern
US9015091B2 (en) * 2011-11-09 2015-04-21 Qualcomm Incorporated Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling
US9424511B2 (en) 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs
US9424513B2 (en) 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for neural component memory transfer of a referenced pattern by including neurons to output a pattern substantially the same as the referenced pattern
US8959040B1 (en) * 2012-03-08 2015-02-17 Hrl Laboratories, Llc Spike timing dependent plasticity apparatus, system and method
US8868477B2 (en) * 2012-03-29 2014-10-21 International Business Machines Coproration Multi-compartment neurons with neural cores
US8977583B2 (en) 2012-03-29 2015-03-10 International Business Machines Corporation Synaptic, dendritic, somatic, and axonal plasticity in a network of neural cores using a plastic multi-stage crossbar switching
US9275329B2 (en) * 2013-08-12 2016-03-01 Qualcomm Incorporated Behavioral homeostasis in artificial nervous systems using dynamical spiking neuron models
US11501143B2 (en) 2013-10-11 2022-11-15 Hrl Laboratories, Llc Scalable integrated circuit with synaptic electronics and CMOS integrated memristors
US20150134582A1 (en) * 2013-11-08 2015-05-14 Qualcomm Incorporated Implementing synaptic learning using replay in spiking neural networks
US9830981B2 (en) * 2015-01-14 2017-11-28 International Business Machines Corporation Neuromorphic memory circuit using a leaky integrate and fire (LIF) line to transmit axon LIF pulse and a conductive denrite LIF line
CN204655738U (zh) * 2015-03-21 2015-09-23 徐志强 一种用于治疗自闭症的“注意”切换训练装置
US10474948B2 (en) 2015-03-27 2019-11-12 University Of Dayton Analog neuromorphic circuit implemented using resistive memories
CN104779950B (zh) * 2015-05-05 2017-08-08 西南大学 基于忆阻交叉架构的图片均值学习电路
US10885429B2 (en) 2015-07-06 2021-01-05 University Of Dayton On-chip training of memristor crossbar neuromorphic processing systems
US10176425B2 (en) 2016-07-14 2019-01-08 University Of Dayton Analog neuromorphic circuits for dot-product operation implementing resistive memories
US10846590B2 (en) * 2016-12-20 2020-11-24 Intel Corporation Autonomous navigation using spiking neuromorphic computers
WO2018182827A1 (en) * 2017-03-28 2018-10-04 Hrl Laboratories, Llc A neural model-based controller
US11301750B2 (en) * 2017-03-31 2022-04-12 Ecole Polytechnique Federale De Lausanne (Epfl) Simplification of neural models that include arborized projections
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5583964A (en) * 1994-05-02 1996-12-10 Motorola, Inc. Computer utilizing neural network and method of using same
US7089218B1 (en) * 2004-01-06 2006-08-08 Neuric Technologies, Llc Method for inclusion of psychological temperament in an electronic emulation of the human brain
JP3647584B2 (ja) 1996-12-26 2005-05-11 富士通株式会社 学習型自己定位装置
US6041322A (en) * 1997-04-18 2000-03-21 Industrial Technology Research Institute Method and apparatus for processing data in a neural network
WO2004097733A2 (en) * 2003-04-30 2004-11-11 Darwinian Neural Network Industries Ltd Neural networks
JP2005190429A (ja) 2003-12-26 2005-07-14 Hiroshima Univ 参照データ認識・学習方法及びパターン認識システム
EP1894150A2 (en) 2005-05-07 2008-03-05 Stephen L. Thaler Device for the autonomous bootstrapping of useful information
JP4201012B2 (ja) 2006-04-06 2008-12-24 ソニー株式会社 データ処理装置、データ処理方法、およびプログラム
EP2259214B1 (en) * 2009-06-04 2013-02-27 Honda Research Institute Europe GmbH Implementing a neural associative memory based on non-linear learning of discrete synapses
US20120117012A1 (en) * 2010-04-08 2012-05-10 Neurosciences Research Foundation, Inc. Spike-timing computer modeling of working memory
US8382484B2 (en) * 2011-04-04 2013-02-26 Sheepdog Sciences, Inc. Apparatus, system, and method for modulating consolidation of memory during sleep
US9147155B2 (en) * 2011-08-16 2015-09-29 Qualcomm Incorporated Method and apparatus for neural temporal coding, learning and recognition
US9443190B2 (en) * 2011-11-09 2016-09-13 Qualcomm Incorporated Methods and apparatus for neural pattern sequence completion and neural pattern hierarchical replay by invoking replay of a referenced neural pattern
US9424511B2 (en) * 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for unsupervised neural component replay by referencing a pattern in neuron outputs
US9424513B2 (en) * 2011-11-09 2016-08-23 Qualcomm Incorporated Methods and apparatus for neural component memory transfer of a referenced pattern by including neurons to output a pattern substantially the same as the referenced pattern
US9015091B2 (en) * 2011-11-09 2015-04-21 Qualcomm Incorporated Methods and apparatus for unsupervised neural replay, learning refinement, association and memory transfer: structural plasticity and structural constraint modeling
US8909575B2 (en) * 2012-02-29 2014-12-09 Qualcomm Incorporated Method and apparatus for modeling neural resource based synaptic placticity
WO2014081671A1 (en) * 2012-11-20 2014-05-30 Qualcomm Incorporated Dynamical event neuron and synapse models for learning spiking neural networks

Similar Documents

Publication Publication Date Title
JP2014535116A5 (enExample)
Hunsberger et al. Spiking deep networks with LIF neurons
WO2015088774A3 (en) Neuronal diversity in spiking neural networks and pattern classification
Liu et al. Exploring self-repair in a coupled spiking astrocyte neural network
Lin et al. Supervised learning in multilayer spiking neural networks with inner products of spike trains
JP2016538632A5 (enExample)
JP5934378B2 (ja) 無監督ニューラルリプレイ、学習改善、関連付け、およびメモリ転送のための方法および装置:構造可塑性および構造制約モデリング
JP2017513127A5 (enExample)
WO2013181410A3 (en) Continuous time spiking neural network event-based simulation
JP2016536657A5 (enExample)
GB2557780A (en) Energy-efficient time-multiplexed neurosynaptic core for implementing neural networks
Shrestha et al. Robust spike-train learning in spike-event based weight update
Nya et al. A robust inventory management in dynamic supply chains using an adaptive model-free control
Tapia et al. Basic principles drive self-organization of brain-like connectivity structure
Petrovici et al. Pattern representation and recognition with accelerated analog neuromorphic systems
Vazquez et al. Integrate and fire neurons and their application in pattern recognition
Roberts et al. Design principles of sensory processing in cerebellum-like structures: early stage processing of electrosensory and auditory objects
Samura et al. Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition
Ponulak et al. ReSuMe learning method for Spiking Neural Networks dedicated to neuroprostheses control
Kopelowitz et al. Sensitivity of global network dynamics to local parameters versus motif structure in a cortexlike neuronal model
CA2898216A1 (en) Methods and systems for implementing deep spiking neural networks
Wang et al. Dynamically evolving spiking neural network for pattern recognition
Zeldenrust et al. Modulation of spike and burst rate in a minimal neuronal circuit with feed-forward inhibition
RU2018117355A (ru) Построение нейронной сети на основе нейронов с функциональным преобразованием произвольного вида для входных сигналов
Kolwankar et al. Learning and structure of neuronal networks