We come to understand other people's physical and mental states by re-mapping their bodily states onto our sensorimotor system. This process, also called somatosensory resonance, is an essential ability for social cognition and is stronger when observing i ...
Smooth social interactions in everyday life rely on spontaneous understanding of emotions and intentions of others, conveyed by subtle social cues, such as gaze and facial expressions. In individuals with autism, however, who represent close to 1% of the p ...
Dealing with uncertainties and lack of knowledge about problems and situations, there is a perpetual difficulty to evaluate the situations and action values in all time steps. On the other hand, the design of critics which delicately guide the agent even w ...
In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, key ...
Attentional modulation is needed when a decision maker is faced with too much information to process. In this paper we discuss the use of attention in control applications where usually higher order system dynamics are involved as typical benchmarks consid ...
Meditation is a practice that has been used for hundreds of years by people desiring to alter their state of consciousness. Recent brain imaging studies have shown functional correlates of meditation on brain function. In this study, we aimed to examine th ...
Brain activity recorded non-invasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous EEG analysis and machine learning techniques. Until now brain-actuated control has mainly relied on implanted elect ...
Schattauer Verlag2006
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Recent experiments have indicated the possibility to use the brain electrical activity to directly control the movement of robotics or prosthetic devices. In this talk we report results with a portable non-invasive brain-computer interface that makes possi ...
Over the last years evidence has accumulated that shows the possibility to analyze human brain activity on-line and translate brain states into actions such as selecting a letter from a virtual keyboard or moving a robotics device. These initial results ha ...
Brain activity recorded non-invasively is sufficient to control a moblie robot if advanced robotics is used in combination with asynchronous EEG analysis and machine learning techniques. Until now brain-actuated control has mainly relied on implanted elect ...
Institute of Electrical and Electronics Engineers2004