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We introduce an algorithm to do backpropagation on a spiking network.
Spikeprop: backpropagation for networks of spiking neurons
Sander M Bohte, Joost N Kok, and Johannes A La Poutré · 2000
Earlier work this paper cites.
Aer ear: A matched silicon cochlea pair with address event representation interface
Vincent Chan, Shih-Chii Liu, and André Van Schaik · 2007
Earlier work this paper cites.
A 128 × \times 128 120 db 15 μ \mu s latency asynchronous temporal contrast vision sensor
Patrick Lichtsteiner, Christoph Posch, and Tobi Delbruck · 2008
Earlier work this paper cites.
Adaptive regularization of weight vectors
Koby Crammer, Alex Kulesza, and Mark Dredze · 2009
Earlier work this paper cites.
Herding dynamical weights to learn
Max Welling · 2009
Cited alongside, same era.
Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons
Lars Buesing, Johannes Bill, Bernhard Nessler, and Wolfgang Maass · 2011
Cited alongside, same era.
Hoeffding’s inequality for supermartingales
Xiequan Fan, Ion Grama, and Quansheng Liu · 2012
Cited alongside, same era.
Event-driven contrastive divergence for spiking neuromorphic systems
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, and Gert Cauwenberghs · 2013
Cited alongside, same era.
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
Peter U Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, and Michael Pfeiffer
Cited in the paper.
Real-time classification and sensor fusion with a spiking deep belief network
Peter O’Connor, Daniel Neil, Shih-Chii Liu, Tobi Delbruck, and Michael Pfeiffer · 2013
Later among the works it cites.
Binaryconnect: Training deep neural networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2015
Later among the works it cites.
Spiking deep networks with lif neurons
Eric Hunsberger and Chris Eliasmith · 2015
Later among the works it cites.
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