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Курс от Johns Hopkins University
courseraАнализ данных
Principles of fMRI 2
Курс от Johns Hopkins UniversityО курсе
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.
Навыки, которые вы освоите
Statistical AnalysisRegression AnalysisCorrelation AnalysisStatistical MethodsStatistical ModelingData AnalysisNeurologyDimensionality ReductionModel EvaluationImage AnalysisStatistical InferenceMedical ImagingNetwork AnalysisTime Series Analysis and ForecastingPsychologyMagnetic Resonance ImagingAdvanced Analytics
Программа курса
4 модулей · 42 учебных материалов
01Week 110 материалов
Psychological and Behavioral Inference
SyllabusЧтениеModule 1A: Crises in neuroscience and psychology: Problems and solutionsВидеоModule 1B: Crises in neuroscience and psychology: Problems and solutionsВидеоModule 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and BeyondВидеоУчитесь у экспертов
Martin Lindquist, PhD, MSc
Professor, Biostatistics
Tor Wager, PhD
Diana L. Taylor Distinguished Professor