Current version: b2.1.8, released on 17.5.2013

SCRalyze is a powerful matlab toolbox for model-based analysis of psychophysiological signals.

A response model allows to infer a hidden variable from observable data. For example, sympathetic nerve firing can be inferred from observed skin conductance responses (SCR). This allows for quantitative description of hidden processes, increases the temporal resolution of analysis, and suppresses noise.

SCRalyze implements simple General Linear Convolution Models (GLM) for evoked SCR, or uses the Dynamic Causal Modelling (DCM) framework – as a tool to invert more complicated, non-linear models of SCR signals, for example for spontaneous fluctuations or anticipatory responses. Inference is drawn in a hierarchical summary-statistic approach (similar to SPM software for functional magnetic resonance imaging).

SCRalyze also supports other kinds of data, in particular heart rate/heart beat and respiration data. Suitable models are currently being developed for such data.

The flexible software allows import of a number of data formats, including Spike, Biopac, VarioPort, (exported) ADInstruments LabChart, (exported) Biograph Infiniti, (exported) MindMedia BioTrace, Dataq/Windaq, Matlab, and Text files.

Further features are simple programming of add-ons for import and modelling of new data types and automatic creation of batch scripts via the GUI.

See our wiki for more information.

SCRalyze is provided under the GNU General Public License (c) Dominik R. Bach, University of Zurich and University College London