| dc.contributor.author | Zhuang, Chengxu | |
| dc.contributor.author | Xiang, Violet | |
| dc.contributor.author | Bai, Yoon | |
| dc.contributor.author | Jia, Xiaoxuan | |
| dc.contributor.author | DiCarlo, James | |
| dc.contributor.author | Yamins, Daniel | |
| dc.date.accessioned | 2023-03-24T17:44:29Z | |
| dc.date.available | 2023-03-24T17:44:29Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/148710 | |
| dc.language.iso | en | |
| dc.publisher | Cognitive Computational Neuroscience | en_US |
| dc.relation.isversionof | 10.32470/CCN.2022.1155-0 | 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 | How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning? | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Zhuang, Chengxu, Xiang, Violet, Bai, Yoon, Jia, Xiaoxuan, DiCarlo, James et al. 2022. "How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?." 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 | 2023-03-24T17:41:12Z | |
| dspace.orderedauthors | Zhuang, C; Xiang, V; Bai, Y; Jia, X; DiCarlo, J; Yamins, D | en_US |
| dspace.date.submission | 2023-03-24T17:41:13Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
