The Ripple Pond: Enabling Spiking Networks to See

The Ripple Pond: Enabling Spiking Networks to See

We present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network which performs a transformation converting two dimensional images to one dimensional temporal patterns suitable for recognition by temporal coding learning and memory networks. The RPN has been...

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Bibliographic Details
Main Authors:	Saeed eAfshar, Greg Kevin Cohen, Runchun Mark Wang, André evan Schaik, Jonathan eTapson, Torsten eLehmann, Tara Julia Hamilton
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2013-11-01
Series:	Frontiers in Neuroscience
Subjects:	neuromorphic engineering object recognition temporal coding Spiking Neural network polychronous network image transformation invariance
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00212/full

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