Nitime Documentation¶
Contents:
- User Guide
- What’s new in Nitime
- Examples
- Filtering and normalizing fMRI data
- Multitaper coherence estimation
- Seed correlation/coherence with fMRI data
- Multivariate auto-regressive modeling
- Auditory processing in grasshoppers
- Fitting an AR model: algorithm module interface
- Event-related fMRI
- Multitaper spectral estimation
- Multitaper method for baseband demodulation
- Granger ‘causality’ of fMRI data
- Multivariate auto-regressive modeling - 3 variables
- Fitting an MAR model: analyzer interface
- Multitaper F-test for harmonic components
- Coherency analysis of fMRI data
- Calculation of signal-to-noise and information
- Discussion
- Working with nitime source code
- API
- algorithms.autoregressive
- algorithms.cohere
- algorithms.correlation
- algorithms.entropy
- algorithms.event_related
- algorithms.filter
- algorithms.spectral
- algorithms.wavelet
- analysis.base
- analysis.coherence
- analysis.correlation
- analysis.event_related
- analysis.granger
- analysis.normalization
- analysis.snr
- analysis.spectral
- descriptors
- fmri.hrf
- fmri.io
- index_utils
- lazy
- lazyimports
- timeseries
- utils
- viz