Competitive learning in rate coded and spiking neural networks models with applications to vision and audition
<p>Competitive learning is a common and successful approach used to train unsupervised rate-based neural network models. We apply such a technique in this thesis and produce a rate-coded neural network model of pitch processing which provides insights into the training protocols necessary to d...
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| Format: | Thesis |
| Language: | English |
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2019
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