@@ -135,38 +135,39 @@ Datasets
135135
136136.. _nis2011data :
137137
138- [3b] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu,
139- B., & Gallant, J. L. (2014): Gallant Lab Natural Movie 4T fMRI Data.
138+ [3b] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2014).
139+ Gallant Lab Natural Movie 4T fMRI Data.
140140 CRCNS.org. http://dx.doi.org/10.6080/K00Z715X
141141
142142.. _hut2012data :
143143
144144[4b] Huth, A. G., Nishimoto, S., Vu, A. T., Dupré la Tour, T., & Gallant, J. L. (2022).
145- Gallant Lab Natural Short Clips 3T fMRI Data. http://dx.doi.org/10.12751/g-node.vy1zjd
145+ Gallant Lab Natural Short Clips 3T fMRI Data.
146+ GIN. http://dx.doi.org/10.12751/g-node.vy1zjd
146147
147148Packages
148149--------
149150
150151.. _den2022 :
151152
152- [13] Deniz, F., Visconti di Oleggio Castello, M., Dupré La Tour, T., &
153- Gallant, J. L. (2022). Voxelwise encoding models in functional MRI. * In
154- preparation *.
153+ [13] Deniz, F., Visconti di Oleggio Castello, M., Dupré La Tour, T., & Gallant, J. L. (2022).
154+ Voxelwise encoding models in functional MRI.
155+ * In preparation *.
155156
156157.. _dup2022 :
157158
158159[14] Dupré La Tour, T., Eickenberg, M., & Gallant, J. L. (2022).
159- Feature-space selection with banded ridge regression. *In preparation *.
160+ Feature-space selection with banded ridge regression.
161+ BioRxiv. https://doi.org/10.1101/2022.05.05.490831
160162
161163.. _gao2015 :
162164
163165[15] Gao, J. S., Huth, A. G., Lescroart, M. D., & Gallant, J. L. (2015).
164- Pycortex: an interactive surface visualizer for fMRI. Frontiers in
165- neuroinformatics , 23.
166+ Pycortex: an interactive surface visualizer for fMRI.
167+ Frontiers in Neuroinformatics , 23. https://doi.org/10.3389/fninf.2015.00023
166168
167169.. _nun2021 :
168170
169- [16] Nunez-Elizalde, A.O., Deniz, F., Dupré la Tour, T., Visconti di Oleggio
170- Castello, M., and Gallant, J.L. (2021). pymoten: scientific python package
171- for computing motion energy features from video. Zenodo.
172- https://doi.org/10.5281/zenodo.6349625
171+ [16] Nunez-Elizalde, A.O., Deniz, F., Dupré la Tour, T., Visconti di Oleggio Castello, M., and Gallant, J.L. (2021).
172+ pymoten: scientific python package for computing motion energy features from video.
173+ Zenodo. https://doi.org/10.5281/zenodo.6349625
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