5 abstracts accepted to CCN

The projects cover new models of vision and language, new ways to evaluate these models on their brain alignment, and ideas to make use of the best models.

A Simple Untrained Recurrent Attention Architecture Aligns to the Human Language Network

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream

Inferotemporal Cortex Underlies Primate Generalization Capabilities and Brain-Aligned Models Generalize Better

Current DNNs are Unable to Integrate Visual Information Across Object Discontinuities

Topographic Deep ANN Models Predict the Perceptual Effects of Direct IT Cortical Interventions