3 papers
cs.CV2026
HyNeuralMap: Hyperbolic Mapping of Visual Semantics to Neural Hierarchies
Zihan Ma, Tian Xia, Kexin Wang +3
Understanding the intricate mappings between visual stimuli and neural responses is a fundamental challenge in cognitive neuroscience. While current approaches predominantly align…
cs.CV2025
Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
Yudan Ren, Xinlong Wang, Kexin Wang +6
While brain-inspired artificial intelligence(AI) has demonstrated promising results, current understanding of the parallels between artificial neural networks (ANNs) and human brai…
cs.CL2024
Analyzing Nobel Prize Literature with Large Language Models
Zhenyuan Yang, Zhengliang Liu, Jing Zhang +19
This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compa…