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Computational Modeling of Neural Activities for Statistical Inference Antonio Kolossa Softcover reprint of the original 1st ed. 2016 edition
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.
127 pages, 10 Tables, color; 20 Illustrations, color; 22 Illustrations, black and white; XXIV, 127 p
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2018年5月27日 |
| ISBN13 | 9783319812434 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 127 |
| 寸法 | 150 × 220 × 10 mm · 222 g |
| 言語 | ドイツ語 |