IntroductionTo investigate the brain’s cognitive process and perceptual holistic, we have developed a novel method that focuses on the informational attributes of stimuli.MethodsWe recorded EEG signals during visual and auditory perceptual cognition experiments and conducted ERP analyses to observe specific positive and negative components occurring after 400ms during both visual and auditory perceptual processes. These ERP components represent the brain’s perceptual holistic processing activities, which we have named Information-Related Potentials (IRPs). We combined IRPs with machine learning methods to decode cognitive processes in the brain.ResultsOur experimental results indicate that IRPs can better characterize information processing, particularly perceptual holism. Additionally, we conducted a brain network analysis and found that visual and auditory perceptual holistic processing share consistent neural pathways.DiscussionOur efforts not only demonstrate the specificity, significance, and reliability of IRPs but also reveal their great potential for future brain mechanism research and BCI applications.

中文翻译：

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深度揭示大脑认知过程：视听感知整体一致脑电模式研究

简介为了研究大脑的认知过程和感知整体，我们开发了一种关注刺激信息属性的新方法。方法我们在视觉和听觉感知认知实验中记录脑电信号，并进行ERP分析以观察400毫秒后发生的特定正负成分在视觉和听觉感知过程中。这些 ERP 组件代表大脑的感知整体处理活动，我们将其命名为信息相关电位 (IRP)。我们将 IRP 与机器学习方法结合起来，解码大脑中的认知过程。结果我们的实验结果表明，IRP 可以更好地表征信息处理，特别是感知整体论。此外，我们进行了脑网络分析，发现视觉和听觉感知整体处理共享一致的神经通路。讨论我们的努力不仅证明了IRP的特异性、重要性和可靠性，而且揭示了它们在未来脑机制研究和BCI应用中的巨大潜力。