Examples¶
A note about the examples
The examples here are some uses of the analysis and visualization functionality of nitime, with example data from actual neuroscience experiments, or with synthetic data, which is generated as part of the example.
All the examples presented in the documentation are generated from fully functioning python scripts, which are available as part of the source distribution in the doc/examples folder.
If you want to replicate a particular analysis or visualization, simply copy the relevant “.py” script from the source distribution, or download the script using the link at the bottom of each page.
Thanks to the developers of PyMVPA for designing the software which enables us to provide these documented examples!
- Multitaper method for baseband demodulation
- Multitaper coherence estimation
- Multitaper F-test for harmonic components
- Filtering and normalizing fMRI data
- Calculation of signal-to-noise and information
- Fitting an MAR model: analyzer interface
- Coherency analysis of fMRI data
- Fitting an AR model: algorithm module interface
- Auditory processing in grasshoppers
- Multivariate auto-regressive modeling
- Seed correlation/coherence with fMRI data
- Multivariate auto-regressive modeling - 3 variables
- Event-related fMRI
- Granger ‘causality’ of fMRI data
- Multitaper spectral estimation