Analyze psychophysiological signals with his MATLAB tool
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.
Requirements:
• MATLAB
Operating system:Windows XP / Vista / 7
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SCRalyze 2.1.8 Beta 
