Our lab uses quantitative, computational methods to try to understand how the human brain processes the natural world. In particular, we are focused on understanding how the meaning of language is represented in the brain.
We are currently looking for motivated research assistants, graduate students, and postdocs! Contact firstname.lastname@example.org if you are interested.
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