##Spiky Spiky is a Matlab application for the analysis of electrophysiological and behavioral data.
Spiky includes the Chronux library for spike sorting and spectral analysis (http://www.chronux.org), along with extra features for convenient sorting, data visualization and analysis of discrete and continuous data.
##Features
- 1-click automatic spike sorting
- Visualization and validation tools
- Basic channel operators
- Per-channel bandpass filtering
- Custom math operators
- Zoom, scroll and pan data
- Analysis of discrete and continuous data
- Merging across data files
- Batch processing
- Matlab API
- Customizable extensions
Screenshot 1
###Requirements Matlab 6.5 or higher (preferred) on Linux, Windows or Mac.
###Install
Synchronize the master branch with git, or download the latest '.zip' archive (see ZIP
button above) and unpack to a local location. Add all sub-folders to the Matlab path. Type
spiky to start.
###API Spiky is accessible from the command line or your own functions and extensions via a global structure containing function handles to all Spiky routines.
###Documentation https://github.com/pmknutsen/spiky/wiki
###Issue/Bug Tracker https://github.com/pmknutsen/spiky/issues
##Data Formats Import:
- Matlab Data Acquisition Toolbox (.daq)
- Hierarchical Data Format (.hd5; requires R2012b or higher)
- Matlab vectors (.mat)
Export:
- Matlab (.mat)
##Analysis Routines Continuous:
- Cross correlation
- Event triggered average
- Histogram
- Spectral coherence
- Power spectral density
- Spectrogram
Discrete:
- Cross correlations
- Peristimulus time histogram (PSTH)
- Spike triggered average (STA)
- Temporal distribution
##Extensions
Additional code can be added to extend Spiky functionality. Extensions can be placed in
the /extensions folder, or their filenames prefixed with spiky_ and be located
anywhere in the Matlab search path. See the file /extensions/Sample_Extension.m for
details.