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Tang, Jerry and Du, Meng and Vo, Vy and Lal, Vasudev and Huth, Alexander (2024). Brain encoding models based on multimodal transformers can transfer across language and vision. Advances in Neural Information Processing Systems. (paper)
Antonello, Richard and Vaidya, Aditya and Huth, Alexander (2024). Scaling laws for language encoding models in fMRI. Advances in Neural Information Processing Systems. (paper) (GitHub)
LeBel, Amanda and Wagner, Lauren and Jain, Shailee and Adhikari-Desai, Aneesh and Gupta, Bhavin and Morgenthal, Allyson and Tang, Jerry and Xu, Lixiang and Huth, Alexander G (2023). A natural language fMRI dataset for voxelwise encoding models. Scientific Data. doi: 10.1038/s41597-023-02437-z (GitHub)
Tang, Jerry and LeBel, Amanda and Jain, Shailee and Huth, Alexander G (2023). Semantic reconstruction of continuous language from non-invasive brain recordings. Nature Neuroscience. doi: 10.1038/s41593-023-01304-9
Jain, Shailee and Vo, Vy A. and Wehbe, Leila and Huth, Alexander G. (2023). Computational Language Modeling and the Promise of in Silico Experimentation. Neurobiology of Language. doi: 10.1162/nol_a_00101
Antonello, Richard and Huth, Alexander (2023). Predictive Coding or Just Feature Discovery? An Alternative Account of Why Language Models Fit Brain Data. Neurobiology of Language. doi: 10.1162/nol_a_00087
Vaidya, Aditya R and Jain, Shailee and Huth, Alexander (2022). Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech. Proceedings of the 39th International Conference on Machine Learning. (paper)
Antonello, Richard and Turek, Javier S and Vo, Vy and Huth, Alexander (2021). Low-dimensional structure in the space of language representations is reflected in brain responses. Advances in Neural Information Processing Systems. (paper) (GitHub)
LeBel, Amanda and Jain, Shailee and Huth, Alexander G (2021). Voxelwise encoding models show that cerebellar language representations are highly conceptual. Journal of Neuroscience. doi: 10.1523/JNEUROSCI.0118-21.2021
Kumar, Akarsh and Vaidya, Aditya R and Huth, Alexander G (2021). Physically Plausible Pose Refinement using Fully Differentiable Forces. The Eighth International Workshop on Egocentric Perception, Interaction and Computing (EPIC) at CVPR 2021. (paper)
Antonello, Richard and Beckage, Nicole M. and Turek, Javier and Huth, Alexander G. (2021). Selecting Informative Contexts Improves Language Model Finetuning. ACL/IJCNLP. (paper) (GitHub)
Mahto, Shivangi and Vo, Vy Ai and Turek, Javier S and Huth, Alexander (2020). Multi-timescale Representation Learning in LSTM Language Models. International Conference on Learning Representations. (paper) (GitHub)
Jain, Shailee and Vo, Vy and Mahto, Shivangi and LeBel, Amanda and Turek, Javier S and Huth, Alexander (2020). Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. Advances in Neural Information Processing Systems. (paper)
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. (paper)
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
Nunez-Elizalde, Anwar O and Huth, Alexander G and Gallant, Jack L (2019). Voxelwise encoding models with non-spherical multivariate normal priors. NeuroImage. doi: 10.1016/j.neuroimage.2019.04.012
Jain, Shailee and Huth, Alexander (2018). Incorporating Context into Language Encoding Models for fMRI. Advances in Neural Information Processing Systems 31. (paper) (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. (paper)
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 (GitHub)
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
Vo, Vy Ai and Jain, Shailee and Beckage, Nicole and Chien, Hsiang-Yun Sherry and Obinwa, Chiadika and Huth, Alexander G (2023). A unifying computational account of temporal context effects in language across the human cortex. bioRxiv. doi: 10.1101/2023.08.03.551886
Singh, Chandan and Hsu, Aliyah R and Antonello, Richard and Jain, Shailee and Huth, Alexander G and Yu, Bin and Gao, Jianfeng (2023). Explaining black box text modules in natural language with language models. arXiv preprint arXiv:2305.09863. (paper)
Tang, Jerry and LeBel, Amanda and Huth, Alexander (2021). Cortical Representations of Concrete and Abstract Concepts in Language Combine Visual and Linguistic Representations. bioRxiv. doi: 10.1101/2021.05.19.444701