Computational Modeling of Neural Activities for Statistical Inference

DOI10.1007/978-3-319-32285-8zbMATH Open1348.92005OpenAlexW2494306906MaRDI QIDQ2799545

Antonio Kolossa

Publication date: 11 April 2016

Full work available at URL: https://doi.org/10.1007/978-3-319-32285-8

zbMATH Keywords

ERPBayesian model selectionEEGneural activityBayesian brain hypothesis

Mathematics Subject Classification ID

General biostatistics (92B15) Bayesian inference (62F15) Neural biology (92C20) Biomedical imaging and signal processing (92C55) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Empirical decision procedures; empirical Bayes procedures (62C12) Research exposition (monographs, survey articles) pertaining to biology (92-02)

Related Items (5)

Statistical modelling of higher-order correlations in pools of neural activity ⋮ Inference for stochastic neuronal models ⋮ A General Likelihood Framework for Characterizing the Time Course of Neural Activity ⋮ Statistical Inference for the Effect of Magnetic Brain Stimulation on a Motoneurone ⋮ Inference for the diffusion models of neuronal activity

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