Brain-inspired large model mindreading

Jia Jin

doi:10.1016/j.neuroimage.2026.122108

2026-07-07

DOI：10.1016/j.neuroimage.2026.122108

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摘要

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• 人类对视觉心理理论问题的反应更简洁且确定。 • MLLMI 显示更强的双侧楔前叶和中颞叶 gyrus 激活。 • MLLMI 在任务协调和注意力网络中表现出增强的功能连接。 • 基于神经的 Transformer 模型实现了 78.6% 的分类准确率。 • 我们提出了一个用于 AI 视觉心理理论的“知识-思考-适应”（KTA）路线图。

Keyword:

Multimodal large language models

Theory of mind

Visual question answering

Mentalization

Brain-inspired intelligence

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期刊

NeuroImage

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4.5

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1.5K

被引数:

10.6W

机构

Shanghai International Studies University

学者数:

904

论文数: 799

被引数: 536

zhejiang lab

学者数:

177

论文数: 71

被引数: 0

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