mspikes is a general-purpose tool for processing time-varying data. It can read and write files of various formats and perform a range of filtering and detection operations. You can:
- filter acoustic recordings
- extract field potentials and spike waveforms from extracellular neural recordings
- export spike times and waveforms for spike sorting (using third-party programs) and import the results
- export spike times to generic formats
- add processing or I/O modules as plugins
- design your own mulithreaded processing pipelines using existing or plugin modules
Want to learn more? Visit the wiki.
mspikes 3.0 is under development, so you'll have to build it from source. Installing in a virtualenv is strongly encouraged.
git clone https://github.com/mspikes/mspikes.git
cd mspikes
python setup.py install