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IJCNN
2007
IEEE

Character Recognition using Spiking Neural Networks

9 years 7 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite neurons. There are both excitatory and inhibitory connections in the network. Spike time dependent plasticity (STDP) is used for training. It is found that most of the characters are recognized in a character set consisting of 48 characters.
Ankur Gupta, Lyle N. Long
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IJCNN
Authors Ankur Gupta, Lyle N. Long
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