In article <4b536l$baq at eis.wfunet.wfu.edu> laubach at biogfx.neuro.wfu.edu (Mark
Laubach) writes:
When are you going to distinguish the stimuli? After looking at all the
trials on average?
No, potentially during/immediately after the stimulus.
My point was that we need trial-by-trial predictors for analyzing neuron
activity.
I understood that.
A cross-correlation is nothing more than a correlational measure between
time-series and a correlational measure is not a predictor for
trial-by-trial classification.
Ah. You seem to be thinking of using the cross-correlation of one cell's
activity during different trials - that's not what I meant. I was talking of
the cross-correlation of two cells simultaneously active, which you (or
another cell) can compute on-the-fly, as it were. This _does_ enable you (or
that other cell) to distinguish the two stimuli as they are occuring.
Jan
