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Can I read Statistical Techniques for Neuroscientists (Frontiers in Neuroscience) on EtoBox?
Statistical Techniques for Neuroscientists (Frontiers in Neuroscience) by Young K. Truong, Mechelle M. Lewis is a nonfiction available to read on EtoBox.
What is Statistical Techniques for Neuroscientists (Frontiers in Neuroscience) about?
**Statistical Techniques for Neuroscientists** introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel s
Who reads Statistical Techniques for Neuroscientists (Frontiers in Neuroscience)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Young K. Truong, Mechelle M. Lewis
- Publisher
- CRC Press, Taylor & Francis Group
- Published
- 2016
- Language
- EN
- ISBN
- 9781315356754
- Category
- nonfiction
- Subjects
- Mathematics, Health & Fitness, Science
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