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

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00212/full

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