NDLI: Predicting temporal sequences using an event-based spiking neural network incorporating learnable delays

Content Provider	IEEE Xplore Digital Library
Author	Gibson, T.A. Henderson, J.A. Wiles, J.
Copyright Year	2014
Description	Author affiliation: Sch. ITEE, Univ. of Queensland, St. Lucia, QLD, Australia (Gibson, T.A.; Henderson, J.A.; Wiles, J.)
Abstract	This paper presents a novel paradigm for a spiking neural network to forecast temporal sequences. The key to the approach is a new model of a spiking neuron that can make multi-step predictions, using learnable temporal delays at both dendrites and axons. This model is able to learn the temporal structure of space-time events, adaptable to multiple scales, with the neurons able to function asynchronously to predict future events in a video sequence. This approach contrasts with conventional neural network approaches that use fixed time steps and iterative prediction. Simulations were conducted to compare the new model to a conventional iterative paradigm on motion sequences from a frame-free event-driven Dynamic Vision Sensor (DVS128, 16k pixels), showing that the new approach consistently has a low prediction error while the iterative paradigm is affected by propagated errors.
Starting Page	3213
Ending Page	3220
File Size	3303001
Page Count	8
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Delays Lasers Fires Biological neural networks Predictive models Computer architecture dynamic vision sensor spiking neural networks transmission delays delay learning spike-delay-variance learning
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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