Abdülkadir Gökce

Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex

Task-optimized neural networks are the leading in-silico models of sensory cortex, yet the field lacks a unified understanding of which modeling choices drive improved brain alignment. Prior NeuroAI work is fragmented across datasets and modalities, making it difficult to determine robust scaling tr…