Data Analysis in Neuroscience

Learn How to Use Growth Curve Analysis with Your Time Course Data
An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.

Gain proficiency using the Python Pandas library for data analysis.​

This book offers innovative constructs of knowledge and reasoning on autistic pathology according to the perspectives offered by functional neuroscience and neuroimaging data and considers new etiological perspectives and therapeutic strategies centered on the child and the family.

Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow.

Studies in the neurobiological underpinnings of social information processing by psychologists, neurobiologists, psychiatrists, radiologists, and neurologists, using methods that range from brain imaging techniques to comparative analyses.