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Computational Modeling of Neural Activities for Statistical Inference 1st ed. 2016 edition
Antonio Kolossa
Computational Modeling of Neural Activities for Statistical Inference 1st ed. 2016 edition
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
Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
Lançado | 23 de maio de 2016 |
ISBN13 | 9783319322841 |
Editoras | Springer International Publishing AG |
Páginas | 127 |
Dimensões | 155 × 235 × 10 mm · 390 g |
Idioma | German |
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