Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different patterns using an AER based tempotron classifie...

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Bibliographic Details
Main Authors: Zhao, Bo, Ding, Ruoxi, Chen, Shoushun, Linares-Barranco, Bernabe, Tang, Huajin
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2015
Subjects:
MNIST
Spiking neural network
Event driven
Feedforward categorization
Address event representation (AER)
Online Access:https://hdl.handle.net/10356/81364
http://hdl.handle.net/10220/39239

Internet

https://hdl.handle.net/10356/81364
http://hdl.handle.net/10220/39239

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