A bio-inspired feedforward system for categorization of AER motion events

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A bio-inspired feedforward system for categorization of AER motion events
Title:
A bio-inspired feedforward system for categorization of AER motion events
Journal Title:
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Publication Date:
31 October 2013
Citation:
Zhao, Bo; Yu, Qiang; Yu, Hang; Chen, Shoushun; Tang, Huajin, "A bio-inspired feedforward system for categorization of AER motion events," Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE , vol., no., pp.9,12, Oct. 31 2013-Nov. 2 2013, doi: 10.1109/BioCAS.2013.6679627
Abstract:
This paper introduces an event based feedforward categorization system, which takes data from a temporal contrast Address Event Presentation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different patterns using AER based tempotron classifier (a network of leaky integrate-and-fire (LIF) spiking neurons). One appealing character of our system is the event-driven processing. The input and the features are both in the form of address events (spikes). Experimental results on a posture dataset have proved the efficacy of the proposed system.
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