03645nam 22006135 450 991025406160332120200629160223.03-319-32285-010.1007/978-3-319-32285-8(CKB)3710000000667193(DE-He213)978-3-319-32285-8(MiAaPQ)EBC4527902(PPN)194079422(EXLCZ)99371000000066719320160512d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputational Modeling of Neural Activities for Statistical Inference /by Antonio Kolossa1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXIV, 127 p. 42 illus., 20 illus. in color.) 3-319-32284-2 Includes bibliographical references.Basic Principles of ERP Research, Surprise, and Probability Estimation -- Introduction to Model Estimation and Selection Methods -- A New Theory of Trial-by-Trial P300 Amplitude Fluctuations -- Bayesian Inference and the Urn-Ball Task -- Summary and Outlook.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. The employed observer models are useful to compute probability distributions over observable events and hidden states, depending on which are present in the respective tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations. Thus, this book constitutes a decisive step towards a better understanding of the neural coding and computing of probabilities following Bayesian rules. The target audience primarily comprises research experts in the field of computational neurosciences, but the book may also be beneficial for graduate students who want to specialize in this field. .Neural networks (Computer science)Biomedical engineeringNeurosciencesBiomathematicsComputer simulationMathematical Models of Cognitive Processes and Neural Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/M13100Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XNeuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Physiological, Cellular and Medical Topicshttps://scigraph.springernature.com/ontologies/product-market-codes/M31020Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Neural networks (Computer science)Biomedical engineering.Neurosciences.Biomathematics.Computer simulation.Mathematical Models of Cognitive Processes and Neural Networks.Biomedical Engineering and Bioengineering.Neurosciences.Physiological, Cellular and Medical Topics.Simulation and Modeling.519Kolossa Antonioauthttp://id.loc.gov/vocabulary/relators/aut755869BOOK9910254061603321Computational modeling of neural activities for statistical inference1523236UNINA