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Unsupervised speech recognition through spike-timing-dependent plasticity in a convolutional spiking neural network
Speech recognition (SR) has been improved significantly by artificial neural networks (ANNs), but ANNs have the drawbacks of biologically implausibility and excessive power consumption because of the nonlocal transfer of real-valued errors and weights. While spiking neural networks (SNNs) have the p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264808/ https://www.ncbi.nlm.nih.gov/pubmed/30496179 http://dx.doi.org/10.1371/journal.pone.0204596 |