SG11202110721XA - Event-driven spiking convolutional neural network - Google Patents

Event-driven spiking convolutional neural network

Info

Publication number
SG11202110721XA
SG11202110721XA SG11202110721XA SG11202110721XA SG11202110721XA SG 11202110721X A SG11202110721X A SG 11202110721XA SG 11202110721X A SG11202110721X A SG 11202110721XA SG 11202110721X A SG11202110721X A SG 11202110721XA SG 11202110721X A SG11202110721X A SG 11202110721XA
Authority
SG
Singapore
Prior art keywords
event
neural network
convolutional neural
driven
driven spiking
Prior art date
Application number
SG11202110721XA
Inventor
Ole Richter
Ning Qiao
Qian Liu
Sadique Sheik
Original Assignee
Chengdu Synsense Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Synsense Technology Co Ltd filed Critical Chengdu Synsense Technology Co Ltd
Publication of SG11202110721XA publication Critical patent/SG11202110721XA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Multimedia (AREA)
  • Memory System (AREA)
  • Advance Control (AREA)
  • Image Analysis (AREA)
  • Complex Calculations (AREA)
  • Multi Processors (AREA)
SG11202110721XA 2019-04-09 2020-04-06 Event-driven spiking convolutional neural network SG11202110721XA (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19168271 2019-04-09
EP19180569 2019-06-17
PCT/EP2020/059798 WO2020207982A1 (en) 2019-04-09 2020-04-06 Event-driven spiking convolutional neural network

Publications (1)

Publication Number Publication Date
SG11202110721XA true SG11202110721XA (en) 2021-10-28

Family

ID=70050138

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202110721XA SG11202110721XA (en) 2019-04-09 2020-04-06 Event-driven spiking convolutional neural network

Country Status (7)

Country Link
US (1) US20220188597A1 (en)
EP (1) EP3953866A1 (en)
JP (1) JP2022536579A (en)
KR (1) KR20220022893A (en)
CN (3) CN117151181A (en)
SG (1) SG11202110721XA (en)
WO (1) WO2020207982A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113537449B (en) * 2020-04-22 2024-02-02 北京灵汐科技有限公司 Data processing method based on impulse neural network, calculation core circuit and chip
US20220156549A1 (en) * 2020-11-18 2022-05-19 Micron Technology, Inc. Search and match operations in spiking neural networks
US20240107187A1 (en) 2021-04-19 2024-03-28 Chengdu SynSense Technology Co., Ltd. Event-driven integrated circuit having interface system
CN113516676B (en) * 2021-09-14 2021-12-28 成都时识科技有限公司 Angular point detection method, impulse neural network processor, chip and electronic product
CN114372568B (en) * 2022-03-21 2022-07-15 深圳时识科技有限公司 Brain-like chip and electronic equipment
WO2024181717A1 (en) * 2023-02-28 2024-09-06 한국과학기술원 Complementary deep neural network accelerator having heterogeneous convolutional neural network and spiking neural network core architecture

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
FR3025344B1 (en) * 2014-08-28 2017-11-24 Commissariat Energie Atomique NETWORK OF CONVOLUTIONAL NEURONS
US10387770B2 (en) * 2015-06-10 2019-08-20 Samsung Electronics Co., Ltd. Spiking neural network with reduced memory access and reduced in-network bandwidth consumption

Also Published As

Publication number Publication date
EP3953866A1 (en) 2022-02-16
JP2022536579A (en) 2022-08-18
WO2020207982A1 (en) 2020-10-15
CN117094374A (en) 2023-11-21
US20220188597A1 (en) 2022-06-16
KR20220022893A (en) 2022-02-28
CN117151181A (en) 2023-12-01
CN114041140A (en) 2022-02-11

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