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Update voxelwise_modeling.rst
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doc/voxelwise_modeling.rst

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.. _nis2011data:
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[3b] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu,
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B., & Gallant, J. L. (2014): Gallant Lab Natural Movie 4T fMRI Data.
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[3b] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2014).
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Gallant Lab Natural Movie 4T fMRI Data.
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CRCNS.org. http://dx.doi.org/10.6080/K00Z715X
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.. _hut2012data:
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[4b] Huth, A. G., Nishimoto, S., Vu, A. T., Dupré la Tour, T., & Gallant, J. L. (2022).
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Gallant Lab Natural Short Clips 3T fMRI Data. http://dx.doi.org/10.12751/g-node.vy1zjd
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Gallant Lab Natural Short Clips 3T fMRI Data.
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GIN. http://dx.doi.org/10.12751/g-node.vy1zjd
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Packages
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--------
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.. _den2022:
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[13] Deniz, F., Visconti di Oleggio Castello, M., Dupré La Tour, T., &
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Gallant, J. L. (2022). Voxelwise encoding models in functional MRI. *In
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preparation*.
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[13] Deniz, F., Visconti di Oleggio Castello, M., Dupré La Tour, T., & Gallant, J. L. (2022).
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Voxelwise encoding models in functional MRI.
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*In preparation*.
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.. _dup2022:
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[14] Dupré La Tour, T., Eickenberg, M., & Gallant, J. L. (2022).
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Feature-space selection with banded ridge regression. *In preparation*.
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Feature-space selection with banded ridge regression.
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BioRxiv. https://doi.org/10.1101/2022.05.05.490831
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.. _gao2015:
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[15] Gao, J. S., Huth, A. G., Lescroart, M. D., & Gallant, J. L. (2015).
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Pycortex: an interactive surface visualizer for fMRI. Frontiers in
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neuroinformatics, 23.
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Pycortex: an interactive surface visualizer for fMRI.
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Frontiers in Neuroinformatics, 23. https://doi.org/10.3389/fninf.2015.00023
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.. _nun2021:
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[16] Nunez-Elizalde, A.O., Deniz, F., Dupré la Tour, T., Visconti di Oleggio
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Castello, M., and Gallant, J.L. (2021). pymoten: scientific python package
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for computing motion energy features from video. Zenodo.
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https://doi.org/10.5281/zenodo.6349625
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[16] Nunez-Elizalde, A.O., Deniz, F., Dupré la Tour, T., Visconti di Oleggio Castello, M., and Gallant, J.L. (2021).
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pymoten: scientific python package for computing motion energy features from video.
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Zenodo. https://doi.org/10.5281/zenodo.6349625

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