{"pk":25836,"title":"Learning of Time Varying Functions is Based on Association Between Successive\nStimuli","subtitle":null,"abstract":"In function learning, the to-be-learned function always defines\nthe relationships between stimulus and response. However,\nwhen a function defines the stimuli by time points, we can call\nthis type of function as time-varying function. Learning timevarying\nfunction would be different from learning other ones.\nSpecifically, the correlation between successive stimuli should\nplay an important role in learning such functions. In this study,\nthree experiments were conducted with the correlations as positive\nhigh, negative high, and positive low. The results show\npeople perform well when the correlation between successive\nstimuli is high, no matter whether it is positive or negative.\nAlso, people have difficulty learning the time-varying function\nwith a low correlation between successive stimuli. A simple\ntwo-layered neural network model is evident to be able to provide\ngood accounts for the data of all experiments. These results\nsuggest that learning time varying function is based on\nassociation between successive stimuli.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Function Learning; Time Varying Function"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/99m4825w","frozenauthors":[{"first_name":"Lee-Xieng","middle_name":"","last_name":"Yang","name_suffix":"","institution":"National Chengchi University","department":""},{"first_name":"Tzu-Hsi","middle_name":"","last_name":"Lee","name_suffix":"","institution":"National Chengchi University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25836/galley/15460/download/"}]}