Bayesian Comparisons Between Representations

Schütt, Heiko H.

Neural networks rely on top-down representations under conditions of uncertainty

Kular, Holly

Using transfer learning to identify a neural network’s algorithm

Morrison, John

Visual Cognition in Vision-Language Models

Ehinger, Krista A.

Visualizing the Unseen: Perceptographer, an AI Engine for Visualizing Brain-Stimulation-Induced Perceptual Events

Shahbazi, Elia

Privileged representational axes in biological and artificial neural networks

Khosla, Meenakshi

Spatial-scale invariant properties of visual cortex in mammals

Gauthaman, Raj Magesh

Training convolutional neural networks with blurry images enables the learning of more human-aligned visual representations

Jeon, Ikhwan

A signal detection model for the analysis of continuous response gradients and an application to other-race effects

Soto, Fabian A.

Principal distortions for discrimination of image representations

Feather, Jenelle

Suboptimal visual cues integration in location estimation paradigm

Phusuwan, Waragon

Supervised Quadratic Feature Analysis: Task-specific features that maximize quadratic decoding

Herrera-Esposito, Daniel