Computational Modeling of Neural Activities for Statistical Inference. (2016)

• Record Type: Book
• Further Information: Note: By Antonio Kolossa.
• Authors: Kolossa, Antonio
• Other Names: École nationale supérieure des beaux-arts (France)
• Contents: 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.
• Publisher Details: Cham : Springer International Publishing Imprint: Springer
• Publication Date: 2016
• Extent: 1 online resource, illustrations
• Subjects: 519; Mathematics; Neurosciences; Computer simulation; Neural networks (Computer science); Biomathematics; Biomedical engineering; Mathematics; Mathematical Models of Cognitive Processes and Neural Networks; Biomedical Engineering; Neurosciences; Physiological, Cellular and Medical Topics; Simulation and Modeling; Evoked potentials (Electrophysiology) -- Statistical methods; Biomathematics; Biomedical engineering; Computer simulation; Mathematics; Neural networks (Computer science); Neurosciences; Technology & Engineering -- Engineering (General); Medical -- Neuroscience; Mathematics -- Applied; Computers -- Computer Simulation; Biomedical engineering; Neurosciences; Applied mathematics; Computer modelling & simulation; Physiology -- Mathematics; Mathematical modelling; Electronic books
• Languages: English
• ISBNs: 3319322850; 9783319322858
• Notes: Note: Includes bibliographical references.; Note: Description based on print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.