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 huth@cs.utexas.edu if you are interested.

Latest Publications

Turek, Javier S. and Jain, Shailee and Vo, Vy and Capota, Mihai and Huth, Alexander G. and Willke, Theodore L. (2020). Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. Proceedings of the 37th International Conference on Machine Learning, {ICML} 2020, 13-18 Jul 2020. (download)

Zhang, Zaiwei and Yang, Zhenpei and Ma, Chongyang and Luo, Linjie and Huth, Alexander and Vouga, Etienne and Huang, Qixing (2020). Deep Generative Modeling for Scene Synthesis via Hybrid Representations. ACM Trans. Graph.. doi: 10.1145/3381866

Deniz, Fatma and Nunez-Elizalde, Anwar O and Huth, Alexander G and Gallant, Jack L (2019). The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. Journal of Neuroscience. doi: 10.1523/JNEUROSCI.0675-19.2019