: The original code and sample data accompanying the book are freely available on GitHub : A comprehensive Python reimplementation
"Analyzing Neural Time Series Data" is more than just a manual; it is a conceptual framework for thinking about the brain as a dynamic system. Whether you are downloading the PDF for a quick reference on Laplacian spatial filtering or sitting down to code a wavelet convolution, this text remains the definitive guide for modern electrophysiology.
Several software packages and tools are available for analyzing neural time series data. These include:
Analyzing Neural Time Series Data: Theory and Practice by Mike X. Cohen (published by
: The original code and sample data accompanying the book are freely available on GitHub : A comprehensive Python reimplementation
"Analyzing Neural Time Series Data" is more than just a manual; it is a conceptual framework for thinking about the brain as a dynamic system. Whether you are downloading the PDF for a quick reference on Laplacian spatial filtering or sitting down to code a wavelet convolution, this text remains the definitive guide for modern electrophysiology.
Several software packages and tools are available for analyzing neural time series data. These include:
Analyzing Neural Time Series Data: Theory and Practice by Mike X. Cohen (published by
