Hugging Face Trending Papers
Jun 3

Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction

Understanding the relationship between deep visual representations and the human visual system is a fundamental challenge in computational neuroscience. While modern vision models achieve strong performance in image recognition, their correspondence with the hierarchical organization of the human visual cortex remains an open question.

arXiv Computer Vision
Aug 28

NEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual Selectivity

NEvo is a neural‑guided evolutionary video synthesis framework that generates dynamic stimuli optimized for specific brain regions in the visual cortex. It performs evolutionary search over a structured prompt space, guided by a dynamic encoding model that predicts voxel‑level responses to video inputs, thereby discovering hyper‑activating videos that outperform handcrafted localizers. The synthesized videos recover known selectivities across ventral, dorsal, and lateral pathways and reveal systematic differences in sensitivity to temporal dynamics, offering new insights into the progression of social‑dynamic features along the lateral stream.

By Yingtian Tang, Sogand Salehi, Ming Zhou, Amir Zamir, Leyla Isik, Martin Schrimpf