Implementing 3D visualizations of EEG signals in artistic applications

The increasing availability of low-cost brain-computer interfaces (BCIs) is extending the possibilities of visual or auditory representations of cognitive activity. These representations are valuable to artists who seek to develop neural interactivity in their work; to scientists who seek new ways to visualize and develop new perspectives on neural functioning; and to clinicians who can harness visual and auditory feedback for treatment of neurological disorders. We describe a method that transforms the neuroelectric activity measured with electroencephalography (EEG) into 3-dimensional geometric data. The method makes use of OpenGL in order to construct artificial spatial-spectral representations of EEG data. We provide several examples in which this method is implemented in OpenGL visualizations.