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Center of Functionally Integrative Neuroscience

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Pineda-Pardo, J. A., Bruña, R., Woolrich, M., Marcos, A., Nobre, A. C., Maestú, F. & Vidaurre, D. (2014). Guiding functional connectivity estimation by structural connectivity in MEG: An application to discrimination of conditions of mild cognitive impairment. NeuroImage, 101, 765-777. https://doi.org/10.1016/j.neuroimage.2014.08.002

Vidaurre, D., Van Gerven, M. A. J., Bielza, C., Larrañaga, P. & Heskes, T. (2013). Bayesian sparse partial least squares. Neural Computation, 25(12), 3318-3339. https://doi.org/10.1162/NECO_a_00524

Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., Barch, D. M., Uǧurbil, K. & Van Essen, D. C. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences, 17(12), 666-682. https://doi.org/10.1016/j.tics.2013.09.016

Vidaurre, D., Rodríguez, E. E., Bielza, C., Larrañaga, P. & Rudomin, P. (2012). A new feature extraction method for signal classification applied to cord dorsum potential detection. Journal of Neural Engineering, 9(5), Article 056009. https://doi.org/10.1088/1741-2560/9/5/056009

Vidaurre, D., Bielza, C. & Larrañaga, P. (2011). On nonlinearity in neural encoding models applied to the primary visual cortex. Network: Computation in Neural Systems, 22(1-4), 97-125. https://doi.org/10.3109/0954898X.2011.637606

Vidaurre, D., Bielza, C. & Larrañaga, P. (2010). Learning an L1-regularized Gaussian Bayesian network in the equivalence class space. IEEE Transactions on Cybernetics, 40(5), 1231-1242. Article 5382574. https://doi.org/10.1109/TSMCB.2009.2036593

Vidaurre, D. & Muruzábal, J. (2007). A quick assessment of topology preservation for SOM structures. IEEE Transactions on Neural Networks, 18(5), 1524-1528. https://doi.org/10.1109/TNN.2007.895820

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Henriette Blæsild Vuust