research
∙
08/16/2020
Supervised Learning with First-to-Spike Decoding in Multilayer Spiking Neural Networks
Experimental studies support the notion of spike-based neuronal informat...
share
research
∙
07/27/2020
Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation
In this work we propose a new supervised learning method for temporally-...
research
∙
10/02/2019
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Spiking neural networks (SNNs) are distributed trainable systems whose c...
research
∙
10/02/2019
An Introduction to Probabilistic Spiking Neural Networks
Spiking neural networks (SNNs) are distributed trainable systems whose c...
research
∙
12/10/2018
Spiking Neural Networks: A Stochastic Signal Processing Perspective
Spiking Neural Networks (SNNs) are distributed systems whose computing e...
research
∙
02/20/2017
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network
Polychronous neural groups are effective structures for the recognition ...
research
∙
01/14/2016
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding
Precise spike timing as a means to encode information in neural networks...
research
∙
03/31/2015
Encoding Spike Patterns in Multilayer Spiking Neural Networks
Information encoding in the nervous system is supported through the prec...
research
∙
02/10/2012
Supervised Learning in Multilayer Spiking Neural Networks
The current article introduces a supervised learning algorithm for multi...
research
∙
12/01/2011