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Computational Modeling of Neural Activities for Statistical Inference Antonio Kolossa Softcover reprint of the original 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.
127 pages, 10 Tables, color; 20 Illustrations, color; 22 Illustrations, black and white; XXIV, 127 p
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 27 mei 2018 |
| ISBN13 | 9783319812434 |
| Uitgevers | Springer International Publishing AG |
| Pagina's | 127 |
| Afmetingen | 150 × 220 × 10 mm · 222 g |
| Taal en grammatica | Duits |
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