Search Results for author: Torsten Lehmann

Found 1 papers, 0 papers with code

The Ripple Pond: Enabling Spiking Networks to See

no code implementations13 Jun 2013 Saeed Afshar, Gregory Cohen, Runchun Wang, Andre van Schaik, Jonathan Tapson, Torsten Lehmann, Tara Julia Hamilton

In this paper we present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network that, operating together with recently proposed PolyChronous Networks (PCN), enables rapid, unsupervised, scale and rotation invariant object recognition using efficient spatio-temporal spike coding.

Object Recognition

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