Pleasure detection from the facial motor cortex by the brain-computer interface

Abstract

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.