Title
Scalability of Multiclass Simulation of Spiking Neural Networks on GPUs
Abstract
This manuscript is focused on scalability of Spiking Neural Network (SNN) for acceleration of its learning time. Simulation of SNN algorithm was implemented on GPUs devices Ge Force 9400M and Ge Force650 GTX in order to compare the learning time. Multiclass database are used for classification and the results are compared.
Year
DOI
Venue
2014
10.1109/MICAI.2014.21
2014 13th Mexican International Conference on Artificial Intelligence
Keywords
Field
DocType
GPUs,Spikin Neural Networks,Classification,Multiclass
Computer science,Parallel computing,Parallel processing,Acceleration,Artificial intelligence,Spiking neural network,Artificial neural network,Machine learning,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4673-7010-3
0
0.34
References 
Authors
7
4