Neurocaps

- Removed nans and simply replace has 0 so that 0 for persistence, counts, and temporal fraction means the absence of a cap

- Fix for AAL surface plotting
- Add additional parameters - "fslr_density" and "method" for surface plotting to modify interpolation methods from mni152 to surface space.

- Ability to plot caps as surface plots.

New
- Added "Custom" as a valid keyword for `parcel_approach` to support custom parcellation. Timeseries extraction, caps extraction, bold visualization, and cap visualization available for custom plotting.
- Added `exclude_niftis` parameter to `TimeseriesExtractor.get_bold()` to skip over specific files during timeseries extraction.
- Added `fd_threshold` parameter to `TimeseriesExtractor()` to remove volumes that exceed a specific threshold after nuisance regression is done.
- Changed `network` parameter in `TimeseriesExtractor.visualize_bold()` to `region`.
- Changed "networks" option in `visual_scope` `CAP.visualize_caps()` to "regions"
- Can specify "linespace" and "cmap" as kwargs for `CAP.visualize_caps()`.

Fix
- Error in `CAP.visualize_caps()` when plotting "outer products" plot without subplots

- Allow bids datasets that do not specify run id or session id in their file names to be ran instead of producing an error

- Still in beta but stable
- Allow Windows install to do CAP analysis and timeseries visualization if pickled subject timeseries is transferred to a Windows system but raise System error if the TimerseriesExtractor.get_bold() method is used on Windows system (only development version)
- Allow subject_timeseries to be set in TimeseriesExtractor and create check to ensure it is is the structure needed for methods to be able to work on it