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200 | 200 | %___________________________________________________________________________
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201 | 201 |
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202 | 202 | \ndsection{Analysis}%
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| 203 | +%________________________MNE-Python_________________________________________ |
| 204 | + |
| 205 | +% Your logo placed under ../pics called as <project>_logo.svg |
| 206 | +% .svg is preferable, otherwise some other vector (.pdf) or even |
| 207 | +% raster (.png) would suffice |
| 208 | +\ndproject{MNE-Python}{http://www.martinos.org/mne}{mne_logo.png}{.2}{-0.25em}{0em} |
| 209 | + |
| 210 | +%\begin{figure} |
| 211 | +%\includegraphics[width=0.3\columnwidth]{../pics/psychopy_logo.pdf} |
| 212 | +%\end{figure} |
| 213 | + |
| 214 | +MNE is a software package for processing magnetoencephalography (MEG) and electroencephalography (EEG) data. |
| 215 | +(\url{http://www.martinos.org/mne}) |
| 216 | +\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc] |
| 217 | +\item Includes MEG and EEG preprocessing tools |
| 218 | +\item Includes various data conditioning and data conversion utilities. |
| 219 | +\item Interactive and batch-mode modules for the forward and inverse calculations |
| 220 | +\item Computes cortically-constrained L2 minimum-norm current estimates |
| 221 | +\item Computes associated dynamic statistical parametric maps, optionally constrained by fMRI |
| 222 | +\item Includes frequency-domain and time-frequency analyses and non-parametric statistics |
| 223 | +\end{itemize} |
| 224 | + |
| 225 | +\vspace{1em} |
| 226 | +\includegraphics[width=\columnwidth]{mne_screenshot.pdf} |
| 227 | +% Selected set of citations, Here is an example: |
| 228 | +\ndcite{A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck, L. Parkkonen, M. Hämäläinen, MNE software for processing MEG and EEG data, NeuroImage, Volume 86, 1 February 2014, Pages 446-460, ISSN 1053-8119, http://dx.doi.org/10.1016/j.neuroimage.2013.10.027} |
| 229 | +\ndcite{A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, M. Jas, T. Brooks, L. Parkkonen, M. Hämäläinen, MEG and EEG data analysis with MNE-Python, Frontiers in Neuroscience, Volume 7, 2013, ISSN 1662-453X, http://dx.doi.org/10.3389/fnins.2013.00267} |
| 230 | + |
203 | 231 |
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204 | 232 | %________________________Stimfit____________________________________________
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205 | 233 |
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