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Computational Modeling of Neural Activities for Statistical Inference Antonio Kolossa 1st ed. 2016 edition
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Computational Modeling of Neural Activities for Statistical Inference
Antonio Kolossa
This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations.
151 pages, 22 black & white illustrations, 20 colour illustrations, 10 colour tables, biography
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2016年5月23日 |
| ISBN13 | 9783319322841 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 127 |
| 寸法 | 155 × 235 × 10 mm · 390 g |
| 言語 | ドイツ語 |
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