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pyDVS: an extensible, real-time Dynamic Vision Sensor emulator using off-the-shelf hardware
conference contribution
posted on 2023-06-09, 16:20 authored by Garibaldi Pineda Garcia, Patrick Camilleri, Qian Liu, Steve FurberVision is one of our most important senses, a vast amount of information is perceived through our eyes. Neuroscientists have performed many studies using vision as input to their experiments. Computational neuroscientists have typically used a brightness-to-rate encoding to use images as spike-based visual sources for its natural mapping. Recently, neuromorphic Dynamic Vision Sensors (DVSs) were developed and, while they have excellent capabilities, they remain scarce and relatively expensive. We propose a visual input system inspired by the behaviour of a DVS but using a conventional digital camera as a sensor and a PC to encode the images. By using readily-available components, we believe most scientists would have access to a realistic spiking visual input source. While our primary goal is to provide systems with a live real-time input, we have also been successful in transcoding well established image and video databases into spike train representations. Our main contribution is a DVS emulator framework which can be extended, as we demonstrate by adding local inhibitory behaviour, adaptive thresholds and spike-timing encoding.
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- Published
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Journal
2016 IEEE Symposium Series on Computational Intelligence (SSCI)Publisher
IEEEExternal DOI
Page range
1-7Event name
2016 IEEE Symposium Series on Computational Intelligence (SSCI)Event location
Athens, GreeceEvent type
conferenceEvent date
6-9 December 2016Place of publication
Athens, GreeceISBN
9781509042401Series
IEEE Symposium Series on Computational IntelligenceDepartment affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Computational Neuroscience and Robotics Publications
Notes
contact: g.pineda-garcia at sussex.ac.uk © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksFull text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-12-21First Open Access (FOA) Date
2023-05-25First Compliant Deposit (FCD) Date
2018-12-21Usage metrics
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