Itamar Avitan

Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One

Linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli. But does the test accuracy of such predictions identify genuine representational alignment? We addressed this question through a large-scale mod…