Title:
SPIKING NEURAL NETWORK SYSTEM, LEARNING PROCESSING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/241356
Kind Code:
A1
Abstract:
A spiking neural network system comprising a time-based spiking neural network and a learning processing unit for causing the learning of the spiking neural network to be performed by supervised learning using a cost function that uses a regularization term relating to a neuron ignition time in the spiking neural network.
Inventors:
SAKEMI YUSUKE (JP)
MORINO KAI (JP)
AIHARA KAZUYUKI (JP)
MORINO KAI (JP)
AIHARA KAZUYUKI (JP)
Application Number:
PCT/JP2020/019652
Publication Date:
December 03, 2020
Filing Date:
May 18, 2020
Export Citation:
Assignee:
NEC CORP (JP)
UNIV TOKYO (JP)
UNIV TOKYO (JP)
International Classes:
G06N3/04
Other References:
KUROE, YASUAKI: "Spiking neural networks: learning methods and related topics", SYSTEMS, CONTROL AND INFORMATION, vol. 48, no. 2, 15 February 2004 (2004-02-15), pages 57 - 62, XP055766474, ISSN: 0916-1600
MOSTAFA, H.: "Supervised learning based on temporal coding in spiking neural networks", IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 7, 1 July 2017 (2017-07-01), pages 3227 - 3235, XP011685856, ISSN: 2162-2388, DOI: 10.1109
MOSTAFA, H.: "Supervised learning based on temporal coding in spiking neural networks", IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 7, 1 July 2017 (2017-07-01), pages 3227 - 3235, XP011685856, ISSN: 2162-2388, DOI: 10.1109
Attorney, Agent or Firm:
TANAI Sumio et al. (JP)
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