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时间空间动力学模拟人机认知互动的大脑活动:AD分布式块参数系统框架

Jingting Zhang, Lianchi Zhang, Fengjun Mu

IEEE transactions on neural networks and learning systems

|November 26, 2025

概括

这项研究引入了一种新的计算模型,用于在人机器人认知交互 (HRCI) 期间的人类大脑活动. 开发的系统准确地识别和监测大脑动态,在识别准确性方面超过现有方法.

科学领域:

神经科学是一个神经科学.
机器人技术机器人技术机器人技术
人工智能的人工智能

背景情况:

人机认知交互 (HRCI) 提出了复杂的系统建模挑战.
了解HRCI期间人类大脑活动的动态过程对于开发先进的人机器人系统至关重要.

研究的目的:

在HRCI中开发人类大脑活动的计算模型.
准确地识别和监测人类大脑活动的时空动态实时HRCI.

主要方法:

提出了一个由人类分布的机器人集成参数系统 (HDRLPS) 模型.
开发了一个基于确定性学习 (DL) 的时空动态识别方案.
设计了一个空间时空动力学估计器,使用一个辐射基础功能神经网络 (RBF NN) 模型.

主要成果:

拟议的方法准确地识别和评估实时HRCI的人类大脑活动动态.
通过数学证明,模拟和脑计算机界面 (BCI) 实验来验证.
超越最先进的方法 (LGGNet,EEGNet等) 的性能. 在识别准确性和宏观F1分数方面.

结论:

开发的HDRLPS模型和基于DL的识别方案对于理解HRCI中人类大脑动态是有效的.
拟议的时空动态估计器提供了准确的实时监控能力.
这项研究推进了脑计算机接口和智能人机器人系统的领域.

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