2019

Vizioli, L., De Martino, F., Petro, L.S., Kersten, D., Ugurbil, K., Yacoub, E., Muckli, L. Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses. bioRxiv.

Bontempi, D., Benini, S.,  Signoroni, A., Svanera, M., Muckli, L. (2019). CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. arXiv:1909.05085.

Morgan, A.T., Petro, L.S., Muckli L. (2019). Scene representations conveyed by cortical feedback to early visual cortex can be described by line drawings. Journal of Neuroscience, pii: 0852-19.

Pennartz, C.M.A., Dora, S., Muckli, L., Lorteije, J.A.M. (2019). Towards a Unified View on Pathways and Functions of Neural Recurrent Processing. Trends in Neurosciences, 42(9):589-603.

Bergmann, J., Morgan, A. T., & Muckli, L. (2019). Two distinct feedback codes in V1 for ‘real’ and ‘imaginary’ internal experiences. BioRxiv, 664870.

Svanera, M., Savardi, M., Benini, S., Signoroni, A., Raz, G., Hendler, T., Muckli, L., Goebel, R., & Valente, G. (2019). Transfer learning of deep neural network representations for fMRI decodingJournal of Neuroscience Methods, 328, 108319.