CA2937949A1 - Event-based inference and learning for stochastic spiking bayesian networks - Google Patents

Event-based inference and learning for stochastic spiking bayesian networks Download PDF

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Publication number
CA2937949A1
CA2937949A1 CA2937949A CA2937949A CA2937949A1 CA 2937949 A1 CA2937949 A1 CA 2937949A1 CA 2937949 A CA2937949 A CA 2937949A CA 2937949 A CA2937949 A CA 2937949A CA 2937949 A1 CA2937949 A1 CA 2937949A1
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CA2937949A
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English (en)
French (fr)
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Xin Wang
Bardia Fallah BEHABADI
Amir KHOSROWSHAHI
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Qualcomm Inc
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Qualcomm Inc
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CA2937949A 2014-02-21 2015-02-19 Event-based inference and learning for stochastic spiking bayesian networks Abandoned CA2937949A1 (en)

Applications Claiming Priority (7)

Application Number Priority Date Filing Date Title
US201461943147P 2014-02-21 2014-02-21
US61/943,147 2014-02-21
US201461949154P 2014-03-06 2014-03-06
US61/949,154 2014-03-06
US14/281,220 US20150242745A1 (en) 2014-02-21 2014-05-19 Event-based inference and learning for stochastic spiking bayesian networks
US14/281,220 2014-05-19
PCT/US2015/016665 WO2015127110A2 (en) 2014-02-21 2015-02-19 Event-based inference and learning for stochastic spiking bayesian networks

Publications (1)

Publication Number Publication Date
CA2937949A1 true CA2937949A1 (en) 2015-08-27

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Family Applications (1)

Application Number Title Priority Date Filing Date
CA2937949A Abandoned CA2937949A1 (en) 2014-02-21 2015-02-19 Event-based inference and learning for stochastic spiking bayesian networks

Country Status (8)

Country Link
US (1) US20150242745A1 (enExample)
EP (1) EP3108410A2 (enExample)
JP (1) JP2017509978A (enExample)
KR (1) KR20160123309A (enExample)
CN (1) CN106030620B (enExample)
CA (1) CA2937949A1 (enExample)
TW (1) TW201541374A (enExample)
WO (1) WO2015127110A2 (enExample)

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US10635968B2 (en) 2016-03-24 2020-04-28 Intel Corporation Technologies for memory management of neural networks with sparse connectivity
US11222278B2 (en) 2016-09-08 2022-01-11 Fujitsu Limited Estimating conditional probabilities
US10108538B1 (en) * 2017-07-31 2018-10-23 Google Llc Accessing prologue and epilogue data
WO2019164513A1 (en) * 2018-02-23 2019-08-29 Intel Corporation Method, device and system to generate a bayesian inference with a spiking neural network
US11521053B2 (en) * 2018-04-17 2022-12-06 Hrl Laboratories, Llc Network composition module for a bayesian neuromorphic compiler
US11288572B2 (en) * 2018-04-17 2022-03-29 Hrl Laboratories, Llc Programming model for a bayesian neuromorphic compiler
CN108647725A (zh) * 2018-05-11 2018-10-12 国家计算机网络与信息安全管理中心 一种实现静态隐马尔科夫模型推理的神经电路
JP7151382B2 (ja) * 2018-11-01 2022-10-12 日本電信電話株式会社 イベント予測装置、イベント予測方法及びイベント予測プログラム
DE102018127383A1 (de) * 2018-11-02 2020-05-07 Universität Bremen Datenverarbeitungsvorrichtung mit einem künstlichen neuronalen Netzwerk und Verfahren zur Datenverarbeitung
WO2020102421A1 (en) * 2018-11-13 2020-05-22 The Board Of Trustees Of The University Of Illinois Integrated memory system for high performance bayesian and classical inference of neural networks
JP7562522B2 (ja) * 2018-11-18 2024-10-07 インナテラ・ナノシステムズ・ビー．ブイ． スパイキングニューラルネットワーク
EP3935574A1 (en) * 2019-03-05 2022-01-12 HRL Laboratories, LLC Network -composition. module for a bayesian neuromorphic compiler
EP3953866A1 (en) * 2019-04-09 2022-02-16 Chengdu Synsense Technology Co., Ltd. Event-driven spiking convolutional neural network
US11201893B2 (en) 2019-10-08 2021-12-14 The Boeing Company Systems and methods for performing cybersecurity risk assessments
CN110956256B (zh) * 2019-12-09 2022-05-17 清华大学 利用忆阻器本征噪声实现贝叶斯神经网络的方法及装置
US12197926B2 (en) * 2020-07-03 2025-01-14 Mediatek Inc. Dynamic loading neural network inference at DRAM/on-bus SRAM/serial flash for power optimization
US11681906B2 (en) * 2020-08-28 2023-06-20 Micron Technology, Inc. Bayesian network in memory
KR102595095B1 (ko) * 2020-11-26 2023-10-27 서울대학교산학협력단 유아-모사 베이지안 학습 방법 및 이를 수행하기 위한 컴퓨팅 장치
KR102535635B1 (ko) * 2020-11-26 2023-05-23 광운대학교 산학협력단 뉴로모픽 컴퓨팅 장치
AU2021269370A1 (en) 2020-12-18 2022-07-07 The Boeing Company Systems and methods for context aware cybersecurity
CN113191402B (zh) * 2021-04-14 2022-05-20 华中科技大学 基于忆阻器的朴素贝叶斯分类器设计方法、系统及分类器
CN113516172B (zh) * 2021-05-19 2023-05-12 电子科技大学 基于随机计算贝叶斯神经网络误差注入的图像分类方法
CN113987749B (zh) * 2021-09-26 2025-06-10 深圳市城市公共安全技术研究院有限公司 电气火灾预测方法、设备、计算机程序产品及存储介质
US20230419075A1 (en) * 2022-06-24 2023-12-28 Mitsubishi Electric Research Laboratories, Inc. Automated Variational Inference using Stochastic Models with Irregular Beliefs
US20240095354A1 (en) * 2022-09-14 2024-03-21 Worcester Polytechnic Institute Assurance model for an autonomous robotic system

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US8943008B2 (en) * 2011-09-21 2015-01-27 Brain Corporation Apparatus and methods for reinforcement learning in artificial neural networks
US9111224B2 (en) * 2011-10-19 2015-08-18 Qualcomm Incorporated Method and apparatus for neural learning of natural multi-spike trains in spiking neural networks
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
US9111225B2 (en) * 2012-02-08 2015-08-18 Qualcomm Incorporated Methods and apparatus for spiking neural computation

Also Published As

Publication number Publication date
CN106030620B (zh) 2019-04-16
TW201541374A (zh) 2015-11-01
JP2017509978A (ja) 2017-04-06
WO2015127110A2 (en) 2015-08-27
CN106030620A (zh) 2016-10-12
KR20160123309A (ko) 2016-10-25
US20150242745A1 (en) 2015-08-27
WO2015127110A3 (en) 2015-12-03
EP3108410A2 (en) 2016-12-28

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Effective date: 20200219