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Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification
Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory pathway. While the transformation is pivotal for the sparse spike-based representation of odor data, classification techniques based on the bio-c...
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| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7294411/ https://ncbi.nlm.nih.gov/pubmed/32408563 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20102756 |
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