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Buch Cover Advanced Data Analysis in Neuroscience

Daniel Durstewitz
Springer International Publishing
69.54 € · Hardcover

statistical methods in neuroscience neural time series multivariate statistics machine learning statistical parameter estimation reconstructing state spaces from experimental data nonparametric time series modeling nonlinear dynamical systems multivariate maps and recurrent neural networks bootstrap methods multiple testing dimensionality reduction clustering nonlinear oscillations change point analysis

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all are...

Advanced Data Analysis in Neuroscience

Daniel Durstewitz
Springer International Publishing
60.98 € · Paperback

statistical methods in neuroscience neural time series multivariate statistics machine learning statistical parameter estimation reconstructing state spaces from experimental data nonparametric time series modeling nonlinear dynamical systems multivariate maps and recurrent neural networks bootstrap methods multiple testing dimensionality reduction clustering nonlinear oscillations change point analysis

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all are...

Advanced Data Analysis in Neuroscience

Daniel Durstewitz
Springer International Publishing
50.28 € · eBook

statistical methods in neuroscience neural time series multivariate statistics machine learning statistical parameter estimation reconstructing state spaces from experimental data nonparametric time series modeling nonlinear dynamical systems multivariate maps and recurrent neural networks bootstrap methods multiple testing dimensionality reduction clustering nonlinear oscillations change point analysis

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all are...

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