Matthew Potter
Back to Psych 204b Projects 2010
The Beta Response vs. Multi-Voxel Pattern Analysis
This project investigates the different information that can be gleaned from looking at the beta response across an ROI vs. the multi-voxel pattern analysis.
Background
Methods
Subjects
Subjects were 5 healthy volunteers.
MR acquisition
Data were obtained on a GE scanner. Et cetera.
MR Analysis
The MR data was analyzed using mrVista software tools.
Results - What you found
Retinotopic models in native space
Some text. Some analysis. Some figures.
Retinotopic models in individual subjects transformed into MNI space
Some text. Some analysis. Some figures.
Retinotopic models in group-averaged data on the MNI template brain
Some text. Some analysis. Some figures. Maybe some equations.
Equations
If you want to use equations, you can use the same formats that are use on wikipedia.
See wikimedia help on formulas for help.
This example of equation use is copied and pasted from wikipedia's article on the DFT.
The sequence of N complex numbers x0, ..., xN−1 is transformed into the sequence of N complex numbers X0, ..., XN−1 by the DFT according to the formula:
where i is the imaginary unit and is a primitive N'th root of unity. (This expression can also be written in terms of a DFT matrix; when scaled appropriately it becomes a unitary matrix and the Xk can thus be viewed as coefficients of x in an orthonormal basis.)
The transform is sometimes denoted by the symbol , as in or or .
The inverse discrete Fourier transform (IDFT) is given by
Retinotopic models in group-averaged data projected back into native space
Some text. Some analysis. Some figures.
Conclusions
Here is where you say what your results mean.
References - Resources and related work
References
Software