Title | ||
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Analyzing biological and artificial neural networks: challenges with opportunities for synergy? |
Abstract | ||
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•Artificial and biological neural networks can be analyzed using similar methods.•Neural analysis has revealed similarities between the representations in artificial and biological networks.•Challenges: Even with full access and control, interpreting neural networks can be difficult.•Opportunities: DNNs can provide hypotheses about computation in the brain.•Opportunities: DNNs can be used to prototype new neural analysis techniques. |
Year | DOI | Venue |
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2018 | 10.1016/j.conb.2019.01.007 | Current Opinion in Neurobiology |
DocType | Volume | ISSN |
Journal | 55 | 0959-4388 |
Citations | PageRank | References |
0 | 0.34 | 27 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
David G. T. Barrett | 1 | 229 | 10.57 |
Ari S. Morcos | 2 | 57 | 6.45 |
Jakob H Macke | 3 | 158 | 14.15 |