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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 23 de mayo de 2016 |
| ISBN13 | 9783319322841 |
| Editores | Springer International Publishing AG |
| Páginas | 127 |
| Dimensiones | 155 × 235 × 10 mm · 390 g |
| Lengua | Alemán |
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