Publications Peer reviewed articles (13) Response of male and female domestic chicks to change in the number (quantity) of imprinting objects Author(s): Bastien S. Lemaire, Rosa Rugani, Lucia Regolin, Giorgio Vallortigara Published in: Learning & Behavior, 2020, ISSN 1543-4494 Publisher: Psychonomic Society Inc. DOI: 10.3758/s13420-020-00446-1 Effects of animacy on the processing of morphological Number: a cognitive inheritance? Author(s): Zanini, Chiara; Rugani, Rosa; Giomo, Dunia; Peressotti, Francesca; Franzon, Francesca Published in: Word Structure, 2020, ISSN 1755-2036 Publisher: Edinburgh University Press DOI: 10.3366/word.2020.0158 Relative numerical middle in rhesus monkeys Author(s): Rosa Rugani, Michael L. Platt, Zhaoying Chen and Elizabeth M. Brannon Published in: Biology Letters, Issue 18, 2022, ISSN 1744-957X Publisher: The Royal Society Publishing DOI: 10.1098/rsbl.2021.0426 Numerical magnitude, rather than individual bias, explains spatial numerical association in newborn chicks Author(s): Rosa Rugani, Giorgio Vallortigara, Konstantinos Priftis, Lucia Regolin Published in: eLife, Issue 9, 2020, ISSN 2050-084X Publisher: eLife Sciences Publications DOI: 10.7554/elife.54662 Do non-verbal number systems shape grammar? Numerical cognition and Number morphology compared Author(s): Francesca Franzon, Chiara Zanini, Rosa Rugani Published in: Mind & Language, Issue 34/1, 2019, Page(s) 37-58, ISSN 0268-1064 Publisher: Blackwell Publishing Inc. DOI: 10.1111/mila.12183 A mental number line in human newborns Author(s): Elisa Di Giorgio, Marco Lunghi, Rosa Rugani, Lucia Regolin, Beatrice Dalla Barba, Giorgio Vallortigara, Francesca Simion Published in: Developmental Science, Issue 22/6, 2019, ISSN 1363-755X Publisher: Blackwell Publishing Inc. DOI: 10.1111/desc.12801 Individually distinctive features facilitate numerical discrimination of sets of objects in domestic chicks Author(s): Rosa Rugani, Maria Loconsole, Francesca Simion, Lucia Regolin Published in: Scientific Reports, Issue 10/1, 2020, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-020-73431-3 Use of numerical and spatial information in ordinal counting by zebrafish Author(s): Davide Potrich, Rosa Rugani, Valeria Anna Sovrano, Lucia Regolin, Giorgio Vallortigara Published in: Scientific Reports, Issue 9/1, 2019, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-019-54740-8 Approach direction and accuracy, but not response times, show spatial-numerical association in chicks Author(s): Rosa Rugani; Lucia Regolin Published in: PLoS ONE, Issue 3, 2021, ISSN 1932-6203 Publisher: Public Library of Science DOI: 10.1371/journal.pone.0257764 Cognitive and communicative pressures in the emergence of grammatical structure: A closer look at whether number sense is encoded in privileged ways Author(s): Francesca Franzon, Chiara Zanini, Rosa Rugani Published in: Cognitive Neuropsychology, Issue 37/5-6, 2020, Page(s) 355-358, ISSN 0264-3294 Publisher: Psychology Press DOI: 10.1080/02643294.2020.1802241 Hemispheric specialization in spatial versus ordinal processing in the day‐old domestic chick ( Gallus gallus ) Author(s): Rosa Rugani, Lucia Regolin Published in: Annals of the New York Academy of Sciences, Issue 1477/1, 2020, Page(s) 34-43, ISSN 0077-8923 Publisher: New York Academy of Sciences DOI: 10.1111/nyas.14345 Middle identification for rhesus monkeys is influenced by number but not extent Author(s): Rosa Rugani, Michael L. Platt, Zhaoying Chen, Elizabeth M. Brannon Published in: Scientific Reports, Issue 10/1, 2020, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-020-74533-8 Approach direction and accuracy, but not response times, show spatial-numerical association in chicks Author(s): Rosa Rugani; Lucia Regolin Published in: PLoS ONE, Issue 3, 2021, ISSN 1932-6203 Publisher: Public Library of Science DOI: 10.1371/journal.pone.0257764 Book chapters (1) Numerical Abilities in Nonhumans: The Perspective of Comparative Studies Author(s): Rosa Rugani; Lucia Regolin Published in: Handbook of Cognitive Mathematics, 2021, ISBN 9783030449827 Publisher: Springer Nature DOI: 10.1007/978-3-030-44982-7_39-1 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
