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Pleasure Detection from the Facial Motor Cortex by the Brain-Computer Interface

机译:乐趣检测脑电脑界面的面部电机皮层

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One of the burning issues related to the intelligent systems are brain-computer interface (BCI), which is an interface between the brain's electrical signals and a computer. Scientists are trying to gather more and more benefits from it Today it is widely used in the assistive devices to help patients with motor control problems. But still BCI is not commonly used in the detection of the brain signal such as the emotions of the brain and different mind states. This paper explains the design and implementation of the neural signal amplification and detection system which is used in BCI. The system gets the signal from the facial motor cortex to detect that the rat is feeling pleasure or not. The result shows that the spike rate decreases in the motor cortex during the pleasure state and it increase when the rat is seeking for the pleasure. The pleasure detection experiment was conducted four times to acquire the mean values of the spike rates.
机译:与智能系统相关的燃烧问题之一是大脑 - 计算机接口(BCI),它是大脑电信号和计算机之间的界面。今天科学家正在努力收集越来越多的好处,它广泛用于辅助设备,以帮助电机控制问题的患者。但仍然是BCI通常用于检测诸如大脑和不同思想状态的情绪的脑信号。本文介绍了在BCI中使用的神经信号放大和检测系统的设计和实现。系统从面部电机皮质从面部电机皮层获得信号,以检测大鼠感觉乐趣。结果表明,在快乐状态期间,电动机皮质中的尖峰率降低,并且当大鼠寻求乐趣时它增加。乐趣检测实验进行了四次以获取尖峰率的平均值。

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