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

• Main Authors: Zhao, Bo, Ding, Ruoxi, Chen, Shoushun, Linares-Barranco, Bernabe, Tang, Huajin
• Other Authors: School of Electrical and Electronic Engineering
• Format: 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
• Institution: Nanyang Technological University

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...