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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c5801428ff8749b5922186c0d9f89358
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