Author

Margaret M. Henderson

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#machine learning Preprint Sep 2026

Receptive-field-constrained stimulus optimization for human early and intermediate visual cortex

An ongoing challenge in sensory neuroscience is to characterize the feature dimensions encoded by cortical populations. Recent approaches probe feature selectivity in a data-driven way, by synthesizing a most-exciting-input (MEI) for a target neural population. While this approach has been successfully applied to human...

Jun-Ru Zhao, Han-Fei Guo, Andrew F. Luo et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortex

Understanding how the brain parses actions and events from time-varying natural inputs is a central challenge in neuroscience. Recent work has used deep neural network (DNN) models to build stimulus-computable fMRI encoding models that predict single-voxel responses to complex natural videos. However, the majority of v...

Iishaan Inabathini, Margaret M. Henderson · 0 citations