Publication: Incremental learning algorithm for spike pattern classification
Incremental learning algorithm for spike pattern classification
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Mohemmed, A., & Kasabov, N. (2012). Incremental learning algorithm for spike pattern classification. Proceedings of the International Joint Conference on Neural Networks, 1227–1232. https://doi.org/10.1109/IJCNN.2012.6252533
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In a previous work (Mohemmed et al.), the authors proposed a supervised learning algorithm to train a spiking neuron to associate input/output spike patterns. In this paper, the association learning rule is applied in training a single layer of spiking neurons to classify multiclass spike patterns whereby the neurons are trained to recognize an input spike pattern by emitting a predetermined spike train. The training is performed in incremental fashion, i.e. the synaptic weights are adjusted after each presentation of a training patte
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- Mohemmed, A
- Kasabov, N
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Mohemmed, A., & Kasabov, N. (2012). Incremental learning algorithm for spike pattern classification. Proceedings of the International Joint Conference on Neural Networks, 1227–1232. https://doi.org/10.1109/IJCNN.2012.6252533
