| dc.contributor.author | Feather, Jenelle | |
| dc.contributor.author | Leclerc, Guillaume | |
| dc.contributor.author | Ma ̨dry, Aleksander | |
| dc.contributor.author | McDermott, Josh H | |
| dc.date.accessioned | 2023-03-30T16:52:30Z | |
| dc.date.available | 2023-03-30T16:52:30Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/150017 | |
| dc.language.iso | en | |
| dc.publisher | Cognitive Computational Neuroscience | en_US |
| dc.relation.isversionof | 10.32470/CCN.2022.1147-0 | en_US |
| dc.rights | Creative Commons Attribution 3.0 unported license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | en_US |
| dc.source | Cognitive Computational Neuroscience | en_US |
| dc.title | Model metamers illuminate divergences between biological and artificial neural networks | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Feather, Jenelle, Leclerc, Guillaume, Ma ̨dry, Aleksander and McDermott, Josh H. 2022. "Model metamers illuminate divergences between biological and artificial neural networks." 2022 Conference on Cognitive Computational Neuroscience. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
| dc.relation.journal | 2022 Conference on Cognitive Computational Neuroscience | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-03-30T16:38:19Z | |
| dspace.orderedauthors | Feather, J; Leclerc, G; Ma ̨dry, A; McDermott, JH | en_US |
| dspace.date.submission | 2023-03-30T16:38:33Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
