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Hey, we recently did an experiment, where users were exposed to repeated stimuli. Now, considering we also would like to do a between-subjects comparison, we tried to use z-scoring. However, apparently z-scoring in Ledalab does not standardize the complete signal over time, but rather just the event windows' signals over all events. Now, with a repeated-stimulus in a signal condition, this results that the mean is always 0, presenting no relevant information to us? What is the purpose of z-scoring...

Thanks for the rapid answer! Is this supported by batch-processing?; thanks i found it. the option is just still undocumented on the homepage. Parameter appears to be: "zscale" with boolean values.

Thanks for the rapid answer! Is this supported by batch-processing?; thanks i found it. the option is just sitll ondocumented on the homepage. Parameter appears to be: "zscale" with boolean values.

Thanks for the rapid answer! Is this supported by batch-processing?

Hello, Without digging through all the source code, I am here to ask whether ledalab 1. (already) performs / can perform any forms of normalizing (i.e. logarithmizing) to correct skewed distributions 2. and Standardization (z values or similar) in order to allow a cross-subject comparison If all this doesn't / can't happen in ledalab, I would like to ask the EDA experts here which methods you would recommend. Braithwaite et al. recommend for 1. SCL: Logarithmizing 2. SCR amplitudes (scrList.amp):...

Hello, Without digging through all the source code, I am here to ask whether ledalab 1. (already) performs / can perform any forms of normalizing (i.e. logarithmizing) to correct skewed distributions 2. and Standardization (z values or similar) in order to allow a cross-subject comparison If all this doesn't / can't happen in ledalab, I would like to ask the EDA experts here which methods you would recommend. Braithwaite et al. recommend for 1. SCL: Logarithmizing 2. SCR amplitudes (scrList.amp):...

Hello, Without digging through all the source code, I am here to ask whether ledalab 1. performs / can perform any forms of normalizing (i.e. logarithmizing) to correct skewed distributions 2. and Standardization (z values or similar) in order to allow a cross-subject comparison If all this doesn't / can't happen in ledalab, I would like to ask the EDA experts here which methods you would recommend. Braithwaite et al. recommend for 1. SCL: Logarithmizing 2. SCR amplitudes (scrList.amp): Logarithmizing...

Hello, Without digging through all the source code, I am here to ask whether ledalab 1. performs / can perform any forms of normalizing (i.e. logarithmizing) to correct skewed distributions 2. and Standardization (z values or similar) in order to allow a cross-subject comparison If all this doesn't / can't happen in ledalab, I would like to ask the EDA experts here which methods you would recommend. Braithwaite et al. recommend for 1. SCL: Logarithmizing 2. SCR amplitudes (scrList.amp): Logarithmizing...