Header

UZH-Logo

Maintenance Infos

Event-based attention and tracking on neuromorphic hardware


Renner, Alpha; Evanusa, Matthew; Sandamirskaya, Yulia (2019). Event-based attention and tracking on neuromorphic hardware. In: CVPR 2019, Long Beach, CA, USA, 16 June 2019 - 20 June 2019.

Abstract

We present a fully event-driven vision and processing system for selective attention and tracking, realized on a neuromorphic processor Loihi interfaced to an event-based Dynamic Vision Sensor DAVIS. The attention mechanism is realized as a recurrent spiking neural network that implements attractor-dynamics of dynamic neural fields. We demonstrate capability of the system to create sustained activation that supports object tracking when distractors are present or when the object slows down or stops, reducing the number of generated events.

Abstract

We present a fully event-driven vision and processing system for selective attention and tracking, realized on a neuromorphic processor Loihi interfaced to an event-based Dynamic Vision Sensor DAVIS. The attention mechanism is realized as a recurrent spiking neural network that implements attractor-dynamics of dynamic neural fields. We demonstrate capability of the system to create sustained activation that supports object tracking when distractors are present or when the object slows down or stops, reducing the number of generated events.

Statistics

Citations

Dimensions.ai Metrics
1 citation in Web of Science®
4 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

13 downloads since deposited on 17 Feb 2020
11 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Electrical and Electronic Engineering
Language:English
Event End Date:20 June 2019
Deposited On:17 Feb 2020 09:34
Last Modified:16 Feb 2021 04:41
Publisher:IEEE
OA Status:Green
Publisher DOI:https://doi.org/10.1109/CVPRW.2019.00220

Download

Green Open Access

Download PDF  'Event-based attention and tracking on neuromorphic hardware'.
Preview
Content: Accepted Version
Filetype: PDF
Size: 778kB
View at publisher