Name
Abstract | ||
|---|---|---|
The work presented in this paper merges the Bienenstock-Cooper-Munro (BCM) learning rule with Spike Timing Dependent Plasticity (STDP) to develop a training algorithm for a Spiking Neural Network (SNN), stimulated using spike trains. The BCM rule is utilised to modulate the height of the plasticity window, associated with STDP. The SNN topology uses a single training neuron in the training phase where all classes are passed to this neuron, and the associated weights arc subsequently mapped to the classifying output neurons: the weights are proportionally distributed across the output neurons to reflect similarities in the input data. The training algorithm also includes both exhibitory and inhibitory facilitating dynamic synapses that create a frequency routing capability allowing the information presented to the network to be routed to different hidden layer neurons. A variable neuron threshold level simulates the refractory period. The network is benchmarked against the non-linearly separable IRIS data set problem and results presented in the paper show that the proposed training algorithm exhibits a convergence accuracy comparable to other SNN training algorithms. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IJCNN.2008.4634169 | 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 |
Keywords | Field | DocType |
unsupervised learning,reactive power,classification algorithms,network topology,neural nets,computer networks,iris,intelligent systems,mathematical model,spiking neural network,refractory period,spike timing dependent plasticity | Convergence (routing),Computer science,Unsupervised learning,Artificial intelligence,Artificial neural network,Spiking neural network,Pattern recognition,Algorithm,BCM theory,Learning rule,Iris flower data set,Spike-timing-dependent plasticity,Machine learning | Conference |
ISSN | Citations | PageRank |
2161-4393 | 2 | 0.44 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John J. Wade | 1 | 102 | 8.91 |
| Liam Mcdaid | 2 | 270 | 30.48 |
| Jose A. Santos | 3 | 204 | 12.58 |
| Heather M. Sayers | 4 | 5 | 0.83 |