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 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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Conference Information
Committee NC
Conference Date 2006/10/4(1days)
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Paper Information
Registration To Neurocomputing (NC)
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