{"pk":32754,"title":"A Computational Model of Number Comparison","subtitle":null,"abstract":"Number comparison is a task that has been widely used to investigate the mental representation of number magnitudes. It is frequently assumed that the mapping from numerals to a \"mental number line\" is compressive (i.e., logarithmic) or that magnitude representations have the property of scalar variability. In this study, w e simulate the process of selecting the larger of two numbers in a neural network model. We show that it is possible to account for the main experimental effects (e.g., the distance effect and the number size effect) with a simple architecture using a linear representation of numerical magnitudes. The compressive effects that are found in the reaction times emerge from the non-linear interactions that are intrinsic to the decision process.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Long Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/00q3v9j1","frozenauthors":[{"first_name":"Marco","middle_name":"","last_name":"Zorzi","name_suffix":"","institution":"Dipartimento di Psicologia Generale, Universita di Padova","department":""},{"first_name":"Brian","middle_name":"","last_name":"Butterworth","name_suffix":"","institution":"Institute of Cognitive Neuroscience, University College London","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1999-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/32754/galley/23815/download/"}]}