Comments for Statistical Methods for Neuroscience and Psychology

Comment on Tues Apr 26 by David Zhou

David Zhou — Thu, 26 Apr 2012 14:07:02 +0000

Can you talk about Granger causality? Might this be possible to use this for EEG channels?

Comment on Tues Apr 26 by Rich Truncellito

Rich Truncellito — Thu, 26 Apr 2012 13:30:09 +0000

Do the rules governing bivariate time series data extend to multivariate cases?

Comment on Tues Apr 26 by Thomas Kraynak

Thomas Kraynak — Thu, 26 Apr 2012 13:29:12 +0000

If any, what are the differences to take in consideration between standard bootstrap procedures and bootstrapping the smoothed periodogram?

Comment on Tues Apr 26 by Scott Kennedy

Scott Kennedy — Thu, 26 Apr 2012 13:15:31 +0000

I usually read about spike-triggered averages used to identify the functional relationship between a motor cortical neuron and the EMG of a muscle. Could Granger causality also be used in this situation to show if the neuron is causally related to the EMG?

Comment on Tues Apr 26 by Rob Rasmussen

Rob Rasmussen — Thu, 26 Apr 2012 13:07:49 +0000

What would be a good statistical method to analyze the location of peaks in the periodograms? It seems like in figure 18.15 that the peaks can be relatively hidden within the 95% confidence bands.

Comment on Tues Apr 26 by Shubham Debnath

Shubham Debnath — Thu, 26 Apr 2012 05:28:53 +0000

Is there any particular smoothing method for periodograms that would be better for interpreting coherence?

Comment on Tues Apr 26 by Jay Scott

Jay Scott — Thu, 26 Apr 2012 05:22:53 +0000

Can you explain the bar notation in formula 18.51 on p554?

Comment on Tues Apr 26 by Sharlene Flesher

Sharlene Flesher — Thu, 26 Apr 2012 03:05:41 +0000

When wouldn’t you be able to use the periodogram to propagate uncertainty, and have to use the methods discussed in 18.4.2? Why wouldn’t you be able to use it, and the uncertainty obtained from it?

Comment on Tues Apr 26 by Noah

Noah — Thu, 26 Apr 2012 02:22:59 +0000

Is the propagation of uncertainty more complicated in bi-variate series?

Comment on Tues Apr 26 by Amanda Markey

Amanda Markey — Wed, 25 Apr 2012 17:06:40 +0000

I’m not sure I entirely understand what the significance tests based on the integrated squared difference between two smooth curves is really testing.
Suppose we had two curves that were exactly the same shape, but one had been translated x units up. It seems that this significance test would miss the similarity. Is there a way to test for whether the shapes are significantly different?