| Presentation | 2006-10-11 Performance of time series prediction of a visual target in 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, because there are latencies in the biological sensory-motor system, preying is difficult without the capability of predicting the motion of its prey. Furthermore, the motion of the prey would be aperiodic due to its instantaneous cognition and its noisy environment. In this difficult situation, preying can be successful if the rule governing the running-away is available. In connection with this example, this study aims at investigating predictive ability of humans with saccades for a moving visual target which is intermittently presented. The target was presented at a constant interval which was set properly for avoiding apparent motion perception and for permitting unconscious prediction. We used a 1st-order or 2nd-order AR process as the target time-series in order to make the time-series aperiodic, and thus the periodic-pattern-based (memory-based) approach was unsuccessful. In addition, we used random time-series for control experiments. that the random time-series was generated based on the AR-process and have the same statistics with the original AR-process. Results suggest the subjects performed quasi-optimal prediction of the AR process. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Prediction / Perception / Aperiodic time series / Auto-Regressive process / saccadic eye movements |
| Paper # | NC2006-47 |
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| Committee | NC |
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| Conference Date | 2006/10/4(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Performance of time series prediction of a visual target in humans |
| Sub Title (in English) | |
| Keyword(1) | Prediction |
| Keyword(2) | Perception |
| Keyword(3) | Aperiodic time series |
| Keyword(4) | Auto-Regressive process |
| Keyword(5) | saccadic eye movements |
| 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 |
| Date | 2006-10-11 |
| Paper # | NC2006-47 |
| Volume (vol) | vol.106 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |