Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)
by Mike X Cohen
This book delves into the theory and practice of analyzing neural time series data, tailored for clinical and cognitive neuropsychology. It combines foundational principles with practical tools to process and interpret brain activity recordings, aiding researchers in deriving meaningful insights from complex datasets.
About This Book
Analyzing Neural Time Series Data: Theory and Practice explores the essential methods for processing and interpreting neural recordings. It addresses key challenges in handling time-based data from brain activity studies.
The book integrates theoretical concepts with hands-on practice, making it suitable for those in clinical and cognitive neuropsychology. Readers learn to apply analytical tools to real-world neural datasets.
Structured as part of the Issues in Clinical and Cognitive Neuropsychology series, it emphasizes rigorous approaches to data analysis. This resource supports advancing research in understanding brain function through time series methods.
Practical examples illustrate theory, helping practitioners develop skills in neural data interpretation. The focus remains on accurate and reproducible analysis techniques.
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