Matches in SemOpenAlex for { <https://semopenalex.org/work/W3119948327> ?p ?o ?g. }
- W3119948327 abstract "Significance Primates show remarkable ability to recognize objects. This ability is achieved by their ventral visual stream, multiple hierarchically interconnected brain areas. The best quantitative models of these areas are deep neural networks trained with human annotations. However, they receive more annotations than infants, making them implausible models of the ventral stream development. Here, we report that recent progress in unsupervised learning has largely closed this gap. We find the networks learned with recent unsupervised methods achieve prediction accuracy in the ventral stream that equals or exceeds that of today’s best models. These results illustrate a use of unsupervised learning to model a brain system and present a strong candidate for a biologically plausible computational theory of sensory learning." @default.
- W3119948327 created "2021-01-18" @default.
- W3119948327 creator A5004004818 @default.
- W3119948327 creator A5011316863 @default.
- W3119948327 creator A5030840440 @default.
- W3119948327 creator A5034283312 @default.
- W3119948327 creator A5058188874 @default.
- W3119948327 creator A5061047545 @default.
- W3119948327 creator A5086026686 @default.
- W3119948327 date "2021-01-11" @default.
- W3119948327 modified "2023-10-11" @default.
- W3119948327 title "Unsupervised neural network models of the ventral visual stream" @default.
- W3119948327 cites W1794114838 @default.
- W3119948327 cites W1844800426 @default.
- W3119948327 cites W1971017968 @default.
- W3119948327 cites W197865394 @default.
- W3119948327 cites W1978843775 @default.
- W3119948327 cites W2012298019 @default.
- W3119948327 cites W2018367208 @default.
- W3119948327 cites W2022491393 @default.
- W3119948327 cites W2027914108 @default.
- W3119948327 cites W2034676897 @default.
- W3119948327 cites W2058616551 @default.
- W3119948327 cites W2060436934 @default.
- W3119948327 cites W2063303346 @default.
- W3119948327 cites W2097099483 @default.
- W3119948327 cites W2102701721 @default.
- W3119948327 cites W2104325300 @default.
- W3119948327 cites W2105464873 @default.
- W3119948327 cites W2108598243 @default.
- W3119948327 cites W2117731089 @default.
- W3119948327 cites W2119885245 @default.
- W3119948327 cites W2121008432 @default.
- W3119948327 cites W2132585192 @default.
- W3119948327 cites W2133128597 @default.
- W3119948327 cites W2149106895 @default.
- W3119948327 cites W2151788312 @default.
- W3119948327 cites W2154041648 @default.
- W3119948327 cites W2162950292 @default.
- W3119948327 cites W2166130385 @default.
- W3119948327 cites W2171105099 @default.
- W3119948327 cites W2176287621 @default.
- W3119948327 cites W2187150254 @default.
- W3119948327 cites W2274405424 @default.
- W3119948327 cites W2286279415 @default.
- W3119948327 cites W2588329693 @default.
- W3119948327 cites W2768701474 @default.
- W3119948327 cites W2771424446 @default.
- W3119948327 cites W2798991696 @default.
- W3119948327 cites W2800311957 @default.
- W3119948327 cites W2898929289 @default.
- W3119948327 cites W2949218890 @default.
- W3119948327 cites W2949449018 @default.
- W3119948327 cites W2949512190 @default.
- W3119948327 cites W2949736105 @default.
- W3119948327 cites W2951506741 @default.
- W3119948327 cites W2953473680 @default.
- W3119948327 cites W2963591054 @default.
- W3119948327 cites W2965736624 @default.
- W3119948327 cites W2969343193 @default.
- W3119948327 cites W2978368159 @default.
- W3119948327 cites W3016954138 @default.
- W3119948327 cites W3108490213 @default.
- W3119948327 cites W3137537418 @default.
- W3119948327 cites W4243341362 @default.
- W3119948327 doi "https://doi.org/10.1073/pnas.2014196118" @default.
- W3119948327 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7826371" @default.
- W3119948327 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33431673" @default.
- W3119948327 hasPublicationYear "2021" @default.
- W3119948327 type Work @default.
- W3119948327 sameAs 3119948327 @default.
- W3119948327 citedByCount "144" @default.
- W3119948327 countsByYear W31199483272020 @default.
- W3119948327 countsByYear W31199483272021 @default.
- W3119948327 countsByYear W31199483272022 @default.
- W3119948327 countsByYear W31199483272023 @default.
- W3119948327 crossrefType "journal-article" @default.
- W3119948327 hasAuthorship W3119948327A5004004818 @default.
- W3119948327 hasAuthorship W3119948327A5011316863 @default.
- W3119948327 hasAuthorship W3119948327A5030840440 @default.
- W3119948327 hasAuthorship W3119948327A5034283312 @default.
- W3119948327 hasAuthorship W3119948327A5058188874 @default.
- W3119948327 hasAuthorship W3119948327A5061047545 @default.
- W3119948327 hasAuthorship W3119948327A5086026686 @default.
- W3119948327 hasBestOaLocation W31199483271 @default.
- W3119948327 hasConcept C108583219 @default.
- W3119948327 hasConcept C119857082 @default.
- W3119948327 hasConcept C120822770 @default.
- W3119948327 hasConcept C153180895 @default.
- W3119948327 hasConcept C154945302 @default.
- W3119948327 hasConcept C15744967 @default.
- W3119948327 hasConcept C169760540 @default.
- W3119948327 hasConcept C180747234 @default.
- W3119948327 hasConcept C2779321571 @default.
- W3119948327 hasConcept C2984842247 @default.
- W3119948327 hasConcept C41008148 @default.
- W3119948327 hasConcept C50644808 @default.
- W3119948327 hasConcept C66024118 @default.
- W3119948327 hasConcept C8038995 @default.
- W3119948327 hasConcept C86803240 @default.