Jiook Cha

Aligning the Brain with Language Models Through a Nonlinear and Multimodal Approach

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining

Efficient Modeling of Long-range fMRI Dynamics with a 2D Natural Image Autoencoder

DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale

CAUSALMAMBA: SCALABLE CONDITIONAL STATE SPACE MODELS FOR NEURAL CAUSAL INFERENCE

MIND THE GAP: ALIGNING THE BRAIN WITH LANGUAGE MODELS REQUIRES A NONLINEAR AND MULTIMODAL APPROACH