内部V1功能网络和观察到的刺激的分类
Marlis Ontivero-Ortega1,2,3, Jorge Iglesias-Fuster2, Jhoanna Perez-Hidalgo2
1The Clinical Hospital of Chengdu Brain Sciences, University of Electronic Sciences Technology of China, Chengdu, China.
Frontiers in neuroinformatics
|March 26, 2024
概括
V1 中的神经活动包含刺激信息,共享和个人大脑反应都有所贡献. 预处理方法揭示了不同的子网络,为注意力和感知提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 神经成像是一种神经成像.
背景情况:
- 在V1 (主要视觉皮层) 中的神经活动的共同波动携带有关视觉刺激的信息.
- fMRI预处理方法可以强调共享的神经反应或个人特定活动.
研究的目的:
- 通过使用不同的fMRI预处理技术,研究V1共波动中的神经信息来源.
- 确定如何主体间的相关性和解的fMRI数据有助于刺激表现.
主要方法:
- 对V1内相关矩阵的多变量模式分析,以预测刺激水平和形状.
- 比较学科间的预测准确度和学科内部的交叉分类.
- 分类器重量图的投影和对眼动的控制实验.
主要成果:
- 无论是主体间还是脱的相关性方法都准确地预测了刺激水平和形状.
- 在主题内部的交叉分类成功进行了水平,而不是形状.
- 解密突出了明显的视野不对称性和全球刺激的半球间联系.
结论:
- 在V1内,共同和个体的神经活动模式都会为刺激信息做出贡献.
- 不同的预处理策略显示出不同的底层神经子网络.
- 这些发现提升了对注意力和感知组织的神经机制的理解.
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