In this paper, we discuss an obstacle to training in SpikeProp[1], which is a type of supervised learning algorithms for spiking neural networks.
In this paper, we discuss an obstacle to training in SpikeProp[1], which is a type of supervised learning algorithms for spiking neural networks.
In this paper, we discuss an obstacle to training in SpikeProp, which is a type of supervised learning algorithms for spiking neural networks.
Abstract— In this paper, we discuss an obstacle to training in. SpikeProp[1], which is a type of supervised learning algorithms for spiking neural networks.
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What are the issues faced while training in recurrent networks?
What is training instability?
The unstable learning scenario can be indirectly observed in the form of surges, which are sudden increases in the learning cost and are a common occurrence ...
Nov 1, 2016 · In this letter, we show that the neuronal firing time equation at the core of SpikeProp can be solved analytically using the Lambert W function.
Surges, marked by a sudden rise in learning cost, are a common occurrence during the learning process. They disrupt the learning process and often destabilize ...
Missing: Obstacle Cause
Jan 24, 2024 · In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method.
Missing: Obstacle surges
Obstacle to training SpikeProp networks—cause of surges in training process—. H Takase, M Fujita, H Kawanaka, S Tsuruoka, H Kita, T Hayashi. 2009 International ...
May 15, 2012 · ... Obstacle to training SpikeProp networks—cause of surges in the training process. ... network training algorithm for classification problems.