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| Title | Learning of time varying functions is based on association between successive stimuli |
| Creator | 楊立行 |
| Contributor | 心理系 |
| Key Words | Function Learning; Time Varying Function |
| Date | 2015 |
| Date Issued | 17-Apr-2018 12:15:53 (UTC+8) |
| Summary | In function learning, the to-be-learned function always defines the relationships between stimulus and response. However, when a function defines the stimuli by time points, we can call this type of function as time-varying function. Learning timevarying function would be different from learning other ones. Specifically, the correlation between successive stimuli should play an important role in learning such functions. In this study, three experiments were conducted with the correlations as positive high, negative high, and positive low. The results show people perform well when the correlation between successive stimuli is high, no matter whether it is positive or negative. Also, people have difficulty learning the time-varying function with a low correlation between successive stimuli. A simple two-layered neural network model is evident to be able to provide good accounts for the data of all experiments. These results suggest that learning time varying function is based on association between successive stimuli. |
| Relation | Proceedings of the 37th Annual Conference of the Cognitive Science Society, Cognitive Science Society, pp.2727-2732 |
| Type | conference |
| dc.contributor | 心理系 | zh_Tw |
| dc.creator (作者) | 楊立行 | zh_TW |
| dc.date (日期) | 2015 | |
| dc.date.accessioned | 17-Apr-2018 12:15:53 (UTC+8) | - |
| dc.date.available | 17-Apr-2018 12:15:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Apr-2018 12:15:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/116881 | - |
| dc.description.abstract (摘要) | In function learning, the to-be-learned function always defines the relationships between stimulus and response. However, when a function defines the stimuli by time points, we can call this type of function as time-varying function. Learning timevarying function would be different from learning other ones. Specifically, the correlation between successive stimuli should play an important role in learning such functions. In this study, three experiments were conducted with the correlations as positive high, negative high, and positive low. The results show people perform well when the correlation between successive stimuli is high, no matter whether it is positive or negative. Also, people have difficulty learning the time-varying function with a low correlation between successive stimuli. A simple two-layered neural network model is evident to be able to provide good accounts for the data of all experiments. These results suggest that learning time varying function is based on association between successive stimuli. | en_US |
| dc.format.extent | 188849 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Proceedings of the 37th Annual Conference of the Cognitive Science Society, Cognitive Science Society, pp.2727-2732 | |
| dc.subject (關鍵詞) | Function Learning; Time Varying Function | en_US |
| dc.title (題名) | Learning of time varying functions is based on association between successive stimuli | en_US |
| dc.type (資料類型) | conference |