Forward models of repetition suppression depend critically on assumptions of noise and granularity

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Autores principales: Fernando M. Ramírez, Elisha P. Merriam
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/e9113eeaf0764912a909cf4e930304e7
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spelling oai:doaj.org-article:e9113eeaf0764912a909cf4e930304e72021-12-02T15:15:45ZForward models of repetition suppression depend critically on assumptions of noise and granularity10.1038/s41467-020-18315-w2041-1723https://doaj.org/article/e9113eeaf0764912a909cf4e930304e72020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18315-whttps://doaj.org/toc/2041-1723Fernando M. RamírezElisha P. MerriamNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-4 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Fernando M. Ramírez
Elisha P. Merriam
Forward models of repetition suppression depend critically on assumptions of noise and granularity
format article
author Fernando M. Ramírez
Elisha P. Merriam
author_facet Fernando M. Ramírez
Elisha P. Merriam
author_sort Fernando M. Ramírez
title Forward models of repetition suppression depend critically on assumptions of noise and granularity
title_short Forward models of repetition suppression depend critically on assumptions of noise and granularity
title_full Forward models of repetition suppression depend critically on assumptions of noise and granularity
title_fullStr Forward models of repetition suppression depend critically on assumptions of noise and granularity
title_full_unstemmed Forward models of repetition suppression depend critically on assumptions of noise and granularity
title_sort forward models of repetition suppression depend critically on assumptions of noise and granularity
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/e9113eeaf0764912a909cf4e930304e7
work_keys_str_mv AT fernandomramirez forwardmodelsofrepetitionsuppressiondependcriticallyonassumptionsofnoiseandgranularity
AT elishapmerriam forwardmodelsofrepetitionsuppressiondependcriticallyonassumptionsofnoiseandgranularity
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