This article describes a setup for the simultaneous recording of electrophysiological data (EEG), musical data (MIDI), and three-dimensional movement data. Previously, each of these three different kinds of measurements, conducted sequentially, has been proven to provide important information about different aspects of music performance as an example of a demanding multisensory motor skill. With the method described here, it is possible to record brain-related activity and movement data simultaneously, with accurate timing resolution and at relatively low costs. EEG and MIDI data were synchronized with a modified version of the FTAP software, sending synchronization signals to the EEG recording device simultaneously with keypress events. Si...
Predicting and organizing patterns of events is important for humans to survive in a dynamically cha...
The MAD-EEG Dataset is a research corpus for studying EEG-based auditory attention decoding to a tar...
L’objectif de notre recherche est de comprendre les bases cérébrales de l’interaction sociale dans u...
This article describes a setup for the simultaneous recording of electrophysiological data (EEG), mu...
Here we describe a methodological approach for the simultaneous electroencephalographic (EEG) record...
Brain-computer interfaces (BCIs) aim to find a communication path with computers that dispenses with...
Abstract: Brain-Computer Interfacing (BCI) offers a range of control options that can be harnessed...
The objective of our research is to develop Brain-Computer Interfacing (BCI) for musical application...
Currently little is known about the brain dynamics and expressive movements that support musical eng...
Abstract. This paper expands upon our previous research in the field of Brain-Computer Music Interfa...
Background: Brains interact with the world through actions that are implemented by sensory and motor...
Sensorimotor synchronization is a general skill that musicians have developed to the highest levels ...
Music is a complex multimodal medium experienced not only via sounds but also through body movement...
Electroencephalography (EEG) research has the potential to illuminate questions of connectivity and ...
Music is a complex multimodal medium experienced not only via sounds but also through body movement....
Predicting and organizing patterns of events is important for humans to survive in a dynamically cha...
The MAD-EEG Dataset is a research corpus for studying EEG-based auditory attention decoding to a tar...
L’objectif de notre recherche est de comprendre les bases cérébrales de l’interaction sociale dans u...
This article describes a setup for the simultaneous recording of electrophysiological data (EEG), mu...
Here we describe a methodological approach for the simultaneous electroencephalographic (EEG) record...
Brain-computer interfaces (BCIs) aim to find a communication path with computers that dispenses with...
Abstract: Brain-Computer Interfacing (BCI) offers a range of control options that can be harnessed...
The objective of our research is to develop Brain-Computer Interfacing (BCI) for musical application...
Currently little is known about the brain dynamics and expressive movements that support musical eng...
Abstract. This paper expands upon our previous research in the field of Brain-Computer Music Interfa...
Background: Brains interact with the world through actions that are implemented by sensory and motor...
Sensorimotor synchronization is a general skill that musicians have developed to the highest levels ...
Music is a complex multimodal medium experienced not only via sounds but also through body movement...
Electroencephalography (EEG) research has the potential to illuminate questions of connectivity and ...
Music is a complex multimodal medium experienced not only via sounds but also through body movement....
Predicting and organizing patterns of events is important for humans to survive in a dynamically cha...
The MAD-EEG Dataset is a research corpus for studying EEG-based auditory attention decoding to a tar...
L’objectif de notre recherche est de comprendre les bases cérébrales de l’interaction sociale dans u...