| Presentation | 2005/10/10 Prediction of the aperiodic time series of a visual target by humans Manabu SHIKAUCHI, Shin ISHII, Tomohiro SHIBATA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is advantageous for animals and humans to predict changes in the environment. For example, preying is difficult without the capability of predicting the motion of its prey. To uncover mechanisms for such a prediction is one of the most important topics in brain science. Shibata et al. have been investigating the predictive ability of humans utilizing smooth pursuit eye movement which is specific to primates. They conducted a task where each subject was asked to pursue aperiodic target motions generated by an Auto-Regressive (AR) process. Their results suggested that subjects were capable of (1) online learning of a hidden linear dynamics (AR model) in the AR process, and (2) performing predictive tracking similar to the optimal filtering to some extent. This study aims at investigating whether such a predictive ability of humans as reported by Shibata et al. works for visual perception as well. In our experiments, aperiodic time series generated by an AR process were sequentially presented by means of a small spot at a regular time intervals, and subjects were asked to predict the next spot position. Results suggest both learning and prediction were not clearly observed, while it was observed that the subjects tried to predict the next spot position based on a lower order AR model, and some performance-improvement was also observed through long-term trials. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Aperiodic time series / Auto-Regressive process / Online learning / Prediction / Perception |
| Paper # | NC2005-38 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/10/10(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of the aperiodic time series of a visual target by humans |
| Sub Title (in English) | |
| Keyword(1) | Aperiodic time series |
| Keyword(2) | Auto-Regressive process |
| Keyword(3) | Online learning |
| Keyword(4) | Prediction |
| Keyword(5) | Perception |
| 1st Author's Name | Manabu SHIKAUCHI |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Shin ISHII |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 3rd Author's Name | Tomohiro SHIBATA |
| 3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology:ATR Computational Neuroscience Laboratories |
| Date | 2005/10/10 |
| Paper # | NC2005-38 |
| Volume (vol) | vol.105 |
| Number (no) | 341 |
| Page | pp.pp.- |
| #Pages | 6 |
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