Philipp Kaniuth

This paper introduces a computational method to predict perceived similarity of natural objects using neural network activations, achieving high accuracy with triplet judgments.

This paper introduces feature-reweighted RSA (FR-RSA) to improve the alignment between computational models, brain activity, and behavior by reweighting features, showing it enhances model fit and selection.