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Spiking network optimized for word recognition in noise predicts auditory system hierarchy
The auditory neural code is resilient to acoustic variability and capable of recognizing sounds amongst competing sound sources, yet, the transformations enabling noise robust abilities are largely unknown. We report that a hierarchical spiking neural network (HSNN) optimized to maximize word recogn...
Tallennettuna:
| Julkaisussa: | PLoS Comput Biol |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7329140/ https://ncbi.nlm.nih.gov/pubmed/32559204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007558 |
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