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Visualizing a joint future of neuroscience and neuromorphic engineering

Recent research resolves the challenging problem of building biophysically plausible spiking neural models that are also capable of complex information processing. This advance creates new opportunities in neuroscience and neuromorphic engineering, which we discussed at an online focus meeting.

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Hauptverfasser: Zenke, Friedemann (VerfasserIn) , Bohté, Sander M. (VerfasserIn) , Clopath, Claudia (VerfasserIn) , Comşa, Iulia M. (VerfasserIn) , Göltz, Julian (VerfasserIn) , Maass, Wolfgang (VerfasserIn) , Masquelier, Timothée (VerfasserIn) , Naud, Richard (VerfasserIn) , Neftci, Emre O. (VerfasserIn) , Petrovici, Mihai A. (VerfasserIn) , Scherr, Franz (VerfasserIn) , Goodman, Dan F. M. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 17 February 2021
In: Neuron
Year: 2021, Jahrgang: 109, Heft: 4, Pages: 571-575
ISSN:1097-4199
DOI:10.1016/j.neuron.2021.01.009
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.neuron.2021.01.009
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S089662732100009X
Volltext
Verfasserangaben:Friedemann Zenke, Sander M. Bohté, Claudia Clopath, Iulia M. Comşa, Julian Göltz, Wolfgang Maass, Timothée Masquelier, Richard Naud, Emre O. Neftci, Mihai A. Petrovici, Franz Scherr, and Dan F.M. Goodman

MARC

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