Henderson Lab

Computational neuroscience research on human visual cognition.

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Publications

Pre-prints & under review

Henderson, M.M., Serences, J.T., & Rungratsameetaweemana, N. (2023). Dynamic categorization rules alter representations in human visual cortex. bioRxiv; under review.

Luo, A.F., Wehbe, L., Tarr, M.J., & Henderson, M.M. (2023). Neural Selectivity for Real-World Object Size in Natural Images. bioRxiv; under review.

Peer-reviewed publications

Luo, A.F., Henderson, M.M., Tarr, M.J, & Wehbe, L. (2024). BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. Proceedings of the International Conference on Learning Representations (ICLR).

Luo, A.F., Henderson, M.M., Wehbe, L., & Tarr, M.J. (2023). Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. Proceedings of the Conference on Neural Information Processing Systems (NeurIPS); oral presentation.

Henderson, M.M., Tarr, M.J., & Wehbe, L. (2023). A texture statistics encoding model reveals hierarchical feature selectivity across human visual cortex. Journal of Neuroscience. (pdf)

Henderson, M.M., Tarr, M.J., & Wehbe, L. (2023). Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features. Journal of Vision. (pdf)

Jain, N., Wang, A., Henderson, M.M., Lin, R., Prince, J.S., Tarr, M.J., & Wehbe, L. (2023). Selectivity for food in human ventral visual cortex. Communications Biology. (pdf)

Jinsi, O.* , Henderson, M.M.*, & Tarr, M.J. (2023). Early experience with low-pass filtered images facilitates visual category learning in a neural network model. PLOS ONE. (pdf)

Henderson, M.M., Rademaker, R.L., & Serences, J.T. (2022). Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information. eLife. (pdf)

Henderson, M.M., & Serences, J.T. (2021). Biased orientation representations can be explained by experience with non-uniform training set statistics. Journal of Vision. (pdf)

Henderson, M.M.* , Vo, V.A.* , Chunharas, C., Sprague, T.C., & Serences, J.T. (2019). Multivariate analysis of BOLD activation patterns recovers graded depth representations in human visual and parietal cortex. eNeuro. (pdf)

Henderson, M.M. & Serences, J.T. (2019). Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features. Journal of Neurophysiology. (pdf)

*These authors made equal contributions.