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dc.contributor.authorMarcel van Gerven*
dc.contributor.authorSander Bohte*
dc.date.accessioned2021-02-11T08:31:24Z
dc.date.available2021-02-11T08:31:24Z
dc.date.issued2018*
dc.date.submitted2018-11-16 17:17:57*
dc.identifier29633*
dc.identifier.issn16648714*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41357
dc.description.abstractModern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.*
dc.languageEnglish*
dc.relation.ispartofseriesFrontiers Research Topics*
dc.subjectRC321-571*
dc.subjectQ1-390*
dc.subject.otherbrain imaging*
dc.subject.otherartificial neural networks*
dc.subject.otherdeep learning*
dc.subject.otherneural information processing*
dc.subject.otherbackpropagation*
dc.subject.otherspiking neural networks*
dc.titleArtificial Neural Networks as Models of Neural Information Processing*
dc.typebook
oapen.identifier.doi10.3389/978-2-88945-401-3*
oapen.relation.isPublishedBybf5ce210-e72e-4860-ba9b-c305640ff3ae*
oapen.relation.isbn9782889454013*
oapen.pages220*


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