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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/10672
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| タイトル: | Classification of change detection and change blindness from near-infrared spectroscopy signals |
| 著者: | Tanaka, Hirokazu
Katura, Takusige |
| キーワード: | Neuroimaging
Visual Attension
Decoding
Machine Learning
Support Vector Machine |
| 発行日: | 2011-08-16 |
| 出版者: | SPIE: International Society for Optical Engineering |
| 誌名: | Journal of Biomedical Optics |
| 巻: | 16 |
| 号: | 8 |
| 開始ページ: | 087001-1 |
| 終了ページ: | 087001-15 |
| DOI: | 10.1117/1.3606494 |
| 抄録: | Using a machine-learning classification algorithm applied to near-infrared spectroscopy (NIRS) signals, we classify a success (change detection) or a failure (change blindness) in detecting visual changes for a change-detection task. Five subjects perform a change-detection task, and their brain activities are continuously monitored. A support-vector-machine algorithm is applied to classify the change-detection and change-blindness trials, and correct classification probability of 70–90% is obtained for four subjects. Two types of temporal shapes in classification probabilities are found: one exhibiting a maximum value after the task is completed (postdictive type), and another exhibiting a maximum value during the task (predictive type). As for the postdictive type, the classification probability begins to increase immediately after the task completion and reaches its maximum in about the time scale of neuronal hemodynamic response, reflecting a subjective report of change detection. As for the predictive type, the classification probability shows an increase at the task initiation and is maximal while subjects are performing the task, predicting the task performance in detecting a change. We conclude that decoding change detection and change blindness from NIRS signal is possible and argue some future applications toward brain–machine interfaces. |
| Rights: | Hirokazu Tanaka and Takusige Katura, "Classification of change detection and change blindness from near-infrared spectroscopy signals", J. Biomed. Opt. 16, 087001 (Aug 16, 2011); http://dx.doi.org/10.1117/1.3606494. Copyright 2011 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
| URI: | http://hdl.handle.net/10119/10672 |
| 資料タイプ: | publisher |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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