An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks
نویسندگان
چکیده
منابع مشابه
An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks.
The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems motivate the application of the hierarchical structure and temporal encoding mechanism in spiking neural networks, which have exhibited strong comp...
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We introduce a supervised learning algorithm for multilayer spiking neural networks. The algorithm overcomes a limitation of existing learning algorithms: it can be applied to neurons firing multiple spikes in artificial neural networks with hidden layers. It can also, in principle, be used with any linearizable neuron model and allows different coding schemes of spike train patterns. The algor...
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Spiking neural networks have been referred to as the third generation of artificial neural networks where the information is coded as time of the spikes. There are a number of different spiking neuron models available and they are categorized based on their level of abstraction. In addition, there are two known learning methods, unsupervised and supervised learning. This thesis focuses on super...
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There has been much evidence to show that single precise spikes, transfer information among biological neurons. Based on this encoding scheme various spiking neural networks have been proposed to solve computational problems. One such algorithm, a spike time error-backpropagation algorithm for temporally encoded networks of spiking neurons, has been successfully applied to the problem of comple...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0150329