首页> 外文会议>Neural Engineering, 2009. NER '09 >Pleasure detection from the facial motor cortex by the brain-computer interface
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Pleasure detection from the facial motor cortex by the brain-computer interface

机译:通过人机界面从面部运动皮层进行愉悦感检测

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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 brains 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:与智能系统相关的紧迫问题之一是脑机接口(BCI),它是大脑电信号和计算机之间的接口。科学家们正试图从中获得越来越多的好处。如今,它已广泛用于辅助设备中,以帮助患有运动控制问题的患者。但是,BCI仍不经常用于检测大脑信号(如大脑的情绪和不同的心理状态)。本文介绍了用于BCI的神经信号放大和检测系统的设计和实现。该系统从面部运动皮层获取信号,以检测老鼠是否感到愉悦。结果表明,在愉悦状态下运动皮层的峰值频率降低,而当大鼠寻求愉悦时峰值频率增加。进行了四次愉悦度检测实验,以获取峰值速率的平均值。

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