Margaret M. Henderson

Diffusion-based stimulus optimization reveals functional organization across higher visual cortex

The paper validates a diffusion-based method called BrainDiVE for generating stimuli that activate specific brain regions, showing enhanced category selectivity and revealing functional gradients in visual cortex.

Dynamic categorization rules alter representations in human visual cortex

The paper shows that visual cortex representations change based on decision boundaries, improving categorization performance in a context-dependent manner.

A texture statistics encoding model reveals hierarchical feature selectivity across human visual cortex

The paper uses a texture statistics model to predict fMRI responses across human visual cortex, showing increasing complexity of texture features from early to higher visual areas.

Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features

The paper shows that low-level visual feature tuning in visual cortex correlates with semantic informativeness, supporting the natural scene statistics hypothesis.

Cortical Selectivity to Real-World Object Size In Natural Images

This study investigates cortical selectivity to real-world object size in natural images, finding consistent organization across occipitotemporal cortex and preserved spatial patterns despite controlling for visual features.

Selectivity for food in human ventral visual cortex

The paper identifies two food-selective regions in the ventral visual cortex using fMRI and natural images, confirming food selectivity across multiple datasets and analysis methods.

Why is human vision so poor in early development? The impact of initial sensitivity to low spatial frequencies on visual category learning

The paper uses CNNs to simulate visual category learning with blurred inputs, finding that gradual blur reduction improves basic and subordinate-level categorization, especially with grayscale images.

Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information

The paper investigates how working memory reconfigures neural representations based on behavioral goals, showing reduced spatial coding in visual areas and increased motor coding when responses are known.

Biased orientation representations can be explained by experience with non-uniform training set statistics

The paper shows that biased orientation representations in a CNN trained on non-uniformly distributed orientations align with efficient coding principles.

Human frontoparietal cortex represents behaviorally-relevant target status during invariant object recognition

This study shows that the human frontoparietal cortex encodes invariant target representations during object recognition tasks, linking these signals to task performance.