|
|
| Line 23: |
Line 23: |
| The MR data was analyzed using [http://white.stanford.edu/newlm/index.php/MrVista mrVista] software tools. | | The MR data was analyzed using [http://white.stanford.edu/newlm/index.php/MrVista mrVista] software tools. |
|
| |
|
| = Results - What you found = | | = Results = |
| | |
| == 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. <br>
| |
| ''See wikimedia help on [http://meta.wikimedia.org/wiki/Help:Displaying_a_formula formulas] for help.'' <br>
| |
| This example of equation use is copied and pasted from [http://en.wikipedia.org/wiki/Discrete_Fourier_transform wikipedia's article on the DFT].
| |
| | |
| The [[sequence]] of ''N'' [[complex number]]s ''x''<sub>0</sub>, ..., ''x''<sub>''N''−1</sub> is transformed into the sequence of ''N'' complex numbers ''X''<sub>0</sub>, ..., ''X''<sub>''N''−1</sub> by the DFT according to the formula:
| |
| | |
| :<math>X_k = \sum_{n=0}^{N-1} x_n e^{-\frac{2 \pi i}{N} k n} \quad \quad k = 0, \dots, N-1</math>
| |
|
| |
| where i is the imaginary unit and <math>e^{\frac{2 \pi i}{N}}</math> 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 ''X''<sub>''k''</sub> can thus be viewed as coefficients of ''x'' in an [[orthonormal basis]].)
| |
| | |
| The transform is sometimes denoted by the symbol <math>\mathcal{F}</math>, as in <math>\mathbf{X} = \mathcal{F} \left \{ \mathbf{x} \right \} </math> or <math>\mathcal{F} \left ( \mathbf{x} \right )</math> or <math>\mathcal{F} \mathbf{x}</math>.
| |
| | |
| The '''inverse discrete Fourier transform (IDFT)''' is given by
| |
| | |
| :<math>x_n = \frac{1}{N} \sum_{k=0}^{N-1} X_k e^{\frac{2\pi i}{N} k n} \quad \quad n = 0,\dots,N-1.</math>
| |
| | |
| == Retinotopic models in group-averaged data projected back into native space ==
| |
| Some text. Some analysis. Some figures.
| |
| | |
|
| |
|
| = Conclusions = | | = Conclusions = |
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
Conclusions
Here is where you say what your results mean.
References
Software
Appendix I - Code and Data
Code
File:CodeFile.zip
Data
zip file with my data