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!
- Seed correlation/coherence with fMRI data
- Fitting an MAR model: analyzer interface
- Granger ‘causality’ of fMRI data
- Multitaper method for baseband demodulation
- Multitaper F-test for harmonic components
- Event-related fMRI
- Calculation of signal-to-noise and information
- Fitting an AR model: algorithm module interface
- Multivariate auto-regressive modeling
- Multitaper spectral estimation
- Multivariate auto-regressive modeling - 3 variables
- Filtering and normalizing fMRI data
- Auditory processing in grasshoppers
- Coherency analysis of fMRI data
- Multitaper coherence estimation