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FMRI Philosopy: Signals and Noise
¥ FMRI Stimulus¨Signal connection and noise statistics are both poorly characterized
¥ Result: there is no ÒbestÓ way to analyze FMRI time series data: there are only ÒreasonableÓ analysis methods
¥ To deal with data, must make some assumptions about the signal and noise
¥ Assumptions will be wrong, but must do something
¥ Different kinds of experiments require different kinds of analyses
H Since signal models and questions you ask about the signal will vary
H It is important to understand what is going on, so you can select and evaluate ÒreasonableÓ analyses