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» Error-backpropagation in temporally encoded networks of spik...
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IJON
2002
130views more  IJON 2002»
13 years 4 months ago
Error-backpropagation in temporally encoded networks of spiking neurons
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
ESANN
2000
13 years 5 months ago
SpikeProp: backpropagation for networks of spiking neurons
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
IWANN
2011
Springer
12 years 7 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...
IJON
2006
82views more  IJON 2006»
13 years 4 months ago
Learning under weight constraints in networks of temporal encoding spiking neurons
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
NPL
2002
117views more  NPL 2002»
13 years 4 months ago
Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model
This paper presents a model of a network of integrate-and-fire neurons with time delay weights, capable of invariant spatio-temporal pattern recognition. Spatio-temporal patterns a...
Mykola Lysetskiy, Andrzej Lozowski, Jacek M. Zurad...