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Renner, Alpha; Evanusa, Matthew; Orchard, Garrick; Sandamirskaya, Yulia (2020). Event-Based Attention and Tracking on Neuromorphic Hardware. In: 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Genova, Italy, 31 August 2020 - 2 September 2020, IEEE.
We present a fully event-driven vision and processing system for selective attention and tracking implemented on Intel's neuromorphic research chip, Loihi, directly interfaced with an event-based Dynamic Vision Sensor, DAVIS. The attention mechanism is realized as a recurrent spiking neural network (SNN) that forms sustained activation-bump attractors. The network dynamics support object tracking when distractors are present and when the object slows down or stops.
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Neuroinformatics |
| Dewey Decimal Classification: | 570 Life sciences; biology |
| Language: | English |
| Event End Date: | 2 September 2020 |
| Deposited On: | 03 Feb 2021 11:15 |
| Last Modified: | 27 Jan 2022 05:23 |
| Publisher: | IEEE |
| ISBN: | 9781728149226 |
| OA Status: | Green |
| Publisher DOI: | https://doi.org/10.1109/aicas48895.2020.9073789 |
Renner, Alpha