A convolutional neural-network framework for modelling auditory sensory cells and synapses
Drakopoulos et al developed a machine-learning and computational-neuroscience approach that transforms analytical models of sensory neurons and synapses into deep-neural-network (DNN) neuronal units with the same biophysical properties. Focusing on auditory neurons and synapses, they showed that the...
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Autores principales: | Fotios Drakopoulos, Deepak Baby, Sarah Verhulst |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/c5801428ff8749b5922186c0d9f89358 |
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