Event-Based Attention and Tracking on Neuromorphic Hardware

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 net...

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Bibliographic Details
Published in2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) p. 132
Main Authors Renner, Alpha, Evanusa, Matthew, Orchard, Garrick, Sandamirskaya, Yulia
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2020
Subjects
Hardware
Neuromorphics
Neurons
System-on-chip
Target tracking
Vision sensors
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Summary: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.
DOI:10.1109/AICAS48895.2020.9073789