A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain
Animal nervous systems are highly efficient in processing sensory input. The neuromorphic computing paradigm aims at the hardware implementation of neural network computations to support novel solutions for building brain-inspired computing systems. Here, we take inspiration from sensory processing...
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Veröffentlicht in: | Neuromorphic computing and engineering 2021-12, Vol.1 (2), p.24008 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Animal nervous systems are highly efficient in processing sensory input. The neuromorphic computing paradigm aims at the hardware implementation of neural network computations to support novel solutions for building brain-inspired computing systems. Here, we take inspiration from sensory processing in the nervous system of the fruit fly larva. With its strongly limited computational resources of |
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ISSN: | 2634-4386 2634-4386 |
DOI: | 10.1088/2634-4386/ac3ba6 |