← Search

Amy Kuceyeski

3 accepted papers

2026

Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding

ICLR 2026poster

Neural encoding models aim to predict fMRI-measured brain responses to natural images. fMRI data is acquired as a 3D volume of voxels, where each voxel has a defined spatial location in the brain. However, conventional encoding models often flatten this volume into a 1D vector and treat voxel respon…

Cited by 0SourcecodeScholar
2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models

NeurIPS 2022accept

Decades of experimental research based on simple, abstract stimuli has revealed the coding principles of the ventral visual processing hierarchy, from the presence of edge detectors in the primary visual cortex to the selectivity for complex visual categories in the anterior ventral stream. However,…

Cited by 8SourcePDFScholar
2020

Neural encoding with visual attention

NeurIPS 2020oral

Visual perception is critically influenced by the focus of attention. Due to limited resources, it is well known that neural representations are biased in favor of attended locations. Using concurrent eye-tracking and functional Magnetic Resonance Imaging (fMRI) recordings from a large cohort of hum…