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Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
Statistics. --- Neurosciences. --- Neuropsychology. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical Theory and Methods. --- Neurophysiology --- Psychophysiology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Neural analyzers. --- Neuropsychological tests --- Neurosciences --- Evaluation. --- Data processing. --- Neuropsychological assessment --- Neuropsychological evaluation --- Tests, Neuropsychological --- Clinical neuropsychology --- Neurologic examination --- Psychological tests --- Analysor, Neural --- Analyzers, Neural --- Central nervous system --- Senses and sensation --- Psychology, clinical. --- Mathematical statistics. --- Models, Theoretical. --- Probability. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Statistics .
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Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
Psychology --- Statistical science --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Psychiatry --- Neuropathology --- medische psychologie --- medische statistiek --- neurologie --- biostatistiek --- statistiek --- neuropsychologie --- biometrie --- statistisch onderzoek
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