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