Object Recognition: Models

Poster Session: Tuesday, May 20, 2025, 8:30 am – 12:30 pm, Banyan Breezeway

Poster Title

First Author

Assaying the effect of recent sensory history on object categorization via human psychophysics and computational modeling

Sörensen, Lynn K. A.

Capturing the representational dynamics of face perception in deep recurrent neural networks

Adeli, Hossein

Do deep neural networks perceive contextual visual illusions?

Jang, Hojin

Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment

Prince, Jacob S.

Foveated sensing with KNN-convolutional neural networks

Blauch, Nicholas M.

Population Receptive Field Modeling: Methods, Challenges, and Insights

Lerma-Usabiaga, Garikoitz

Quantifying the similarity of neural representations using decision variable correlation

Qian, Yu

Representational Geometry Dynamics in Networks After Long-Range Modulatory Feedback

Luo, Kexin Cindy

Small-scale adversarial perturbations expose key differences between ANN-based vision encoding models

McNeal, Nikolas

Towards Holistic Vision in Deep Neural Networks: Disentangling Local and Global Processing

Doshi, Fenil R.

Tracing the origins of privileged axes in artificial neural networks

Srivastava, Sudhanshu

Visual Feature Classification and Error Analysis in Multi-Modal Large Language Models

Wang, Ching-Yi

A unified computational framework for visual dysfunctions in psychosis

Toosi, Tahereh