Brain Computing at the Time of Decision-Making?
Most organisms facing a choice between multiple stimuli will look repeatedly at them, presumably implementing a comparison process between the items’ values. Little is known about the exact nature of the comparison process in value-based decision-making, or about the role that the visual fixations play in this process. We propose a computational model in which Read more...
Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals
An important issue of brain-computer interface (BCI) development is to detect changes in brain signals that are related to specific intentions or thought processes. For example, mental motor imagery modulates the sensorimotor brain activity, and the detected changes can be used to operate a computer-controlled device. Clinical applications of this technology include the restoration of Read more...
An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time
Brain-Computer Interfaces (BCI) are communication systems that enable subjects to send commands to computers by using only their brain activity [1]. Most existing BCI are based on ElectroEncephaloGraphy (EEG) as the measure of brain activity [1]. So far, BCI have been proven to be very promising communication and control tools for disabled people [1]. A Read more...