Peer-reviewed Publications

Jain, Shailee and Huth, Alexander (2018). Incorporating Context into Language Encoding Models for fMRI. Advances in Neural Information Processing Systems 31. (download) (video abstract) (poster)

Hamilton, Liberty S and Huth, Alexander G (2018). The revolution will not be controlled: natural stimuli in speech neuroscience. Language, Cognition and Neuroscience. doi: 10.1080/23273798.2018.1499946

Matusz, Pawel J and Dikker, Suzanne and Huth, Alexander G and Perrodin, Catherine (2018). Are We Ready for Real-world Neuroscience?. Journal of Cognitive Neuroscience. doi: 10.1162/jocn_e_01276

Turek, Javier S and Huth, Alexander G (2018). Efficient, sparse representation of manifold distance matrices for classical scaling. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (download)

de Heer, Wendy A and Huth, Alexander G and Griffiths, Thomas L and Gallant, Jack L and Theunissen, Frederic E (2017). The hierarchical cortical organization of human speech processing.. Journal of Neuroscience. doi: 10.1523/JNEUROSCI.3267-16.2017

Huth, Alexander G and Lee, Tyler and Nishimoto, Shinji and Bilenko, Natalia Y and Vu, An T and Gallant, Jack L (2016). Decoding the semantic content of natural movies from human brain activity. Frontiers in systems neuroscience. doi: 10.3389/fnsys.2016.00081

Huth, Alexander G and de Heer, Wendy A and Griffiths, Thomas L and Theunissen, Frederic E and Gallant, Jack L (2016). Natural speech reveals the semantic maps that tile human cerebral cortex. Nature. doi: 10.1038/nature17637

Huth, Alexander G and Nishimoto, Shinji and Vu, An T and Gallant, Jack L (2012). A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron. doi: 10.1016/j.neuron.2012.10.014

Preprints

Nunez-Elizalde, Anwar O and Huth, Alexander G and Gallant, Jack L (2018). Voxelwise encoding models with non-spherical multivariate normal priors. bioRxiv. doi: 10.1101/386318

Jain, Shailee and Huth, Alexander (2018). Incorporating Context into Language Encoding Models for fMRI. bioRxiv. doi: 10.1101/327601