Biologically plausible learning in a deep recurrent spiking network

Abstract excerpt

Artificial deep convolutional networks (DCNs) meanwhile beat even human performance in challenging tasks. Recently DCNs were shown to also predict real neuronal responses. Their relevance for understanding the neuronal networks in the brain, however, remains questionable. In contrast to the unidirectional architecture of DCNs neurons in cortex are recurrently connected and exchange signals by short pulses, the act...

Topics

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• Action Potentials
• Data Interpretation, Statistical
• Databases, Factual
• Guinea Pigs
• Hippocampus
• Models, Neurological
• Neurons
• Phenotype

Identifiers and source

Literature Corpus work

55eeb379-0649-5496-a5c5-aa7d49a3631b

DOI

10.1101/613471