通过脑代数在fMRI视觉表示中的组成性证据
Matteo Ferrante1, Tommaso Boccato2, Nicola Toschi3
1Department of Biomedicine and Prevention, University of Rome, Tor Vergata (IT), Roma, Italy. matteo.ferrante@uniroma2.it.
Communications biology
|August 22, 2025
概括
大脑可能会使用一种系统的,类似于代数的过程,称为"大脑代数". 这项研究表明神经表现如何构建概念以创造可预测的感知结果.
科学领域:
- 认知神经科学
- 计算神经科学
背景情况:
- 神经成像和电生理学揭示了大脑如何编码视觉类别.
- 一个关键的问题是大脑如何代表多个视觉概念的组合.
研究的目的:
- 研究大脑对个体概念的反应是否以代数形式构成.
- 探索神经表现中的概念组成机制.
主要方法:
- 通过对特定概念图像的fMRI反应的平均值在神经空间中产生"概念性扰动".
- 应用这些干扰图像神经模式创建新的概念注入模式.
- 使用预训练的fMRI-to-image解码模型来解释修改的大脑模式.
主要成果:
- 解码修改的大脑模式产生了反映组合概念的图像 (例如,滑板上的人 + 冬季概念 = 冬季滑板上的人).
- 神经表现中的组成过程导致可预测的感知结果.
- 即使是神经模式中的小扰动也可以显著改变解码的概念.
结论:
- 大脑对概念的组合编码可能遵循一个系统的,类似于代数的过程 ("大脑代数").
- 这种以模型为导向的研究表明神经组合的可预测感知结果.
- 开辟了未来对大脑构成机制的经验研究的途径.
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