A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors

A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors

This paper introduces a new system for dynamic visual recognition that combines bio-inspired hardware with a brain-like spiking neural network. The system is designed to take data from a dynamic vision sensor (DVS) that simulates the functioning of the human retina by producing an address event outp...

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Bibliographic Details
Main Authors: Lukas Paulun, Anne Wendt, Nikola Kasabov
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
Spiking neural networks (SNN)
NeuCube
dynamic vision sensor (DVS)
MNIST-DVS
retinotopy
deep learning in SNN
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2018.00042/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2018.00042/full

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