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Visualizing a joint future of neuroscience and neuromorphic engineering
File(s)
snufa-meeting-report.pdf (272.37 KB)
Accepted version
Author(s)
Zenke, Friedemann
Bohté, Sander M
Clopath, Claudia
Comşa, Iulia M
Göltz, Julian
Type
Journal Article
Abstract
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.
Date Issued
2021-02-17
Date Acceptance
2021-01-07
Citation
Neuron, 2021, 109 (4), pp.571-575
URI
DOI
ISSN
0896-6273
Publisher
Cell Press
Start Page
571
End Page
575
Journal / Book Title
Neuron
Volume
109
Issue
4
Copyright Statement
© 2021, Elsevier. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/33600754
PII: S0896-6273(21)00009-X
Subjects
Biomedical Engineering
Forecasting
Humans
Models, Neurological
Neural Networks, Computer
Neurons
Neurosciences
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2021-02-17