Learn More
The real world presents our sensory systems with a continuous stream of undifferentiated information. Segmentation of this stream at event boundaries is necessary for object identification and feature extraction. Here, we investigate the neural dynamics of event segmentation in entire musical symphonies under natural listening conditions. We isolated(More)
The Sonification Application and Research Toolbox (SonART) is an open-source effort to develop a platform-independent collection of methods to map data to sonification parameters. A set of graphical user interface tools that will provide practical and intuitive utilities for experimentation and auditory display. SonART aims to provide publicly available,(More)
A goal of sonification research is the intuitive audio representation of complex, multidimensional data. The authors present two facets of this research that may provide insight into the creative process. First, they discuss aspects of categorical perception in non-verbal auditory scene analysis and propose that these characteristics are simplified models(More)
For the past several years, the University of Maryland School of Medicine has operated a successful and efficient basic science peer tutorial program through the management of the Office of Medical Education. During the 1981-82 and 1982-83 academic years, 122 tutoring dyads were formed to take advantage of the tutoring program in nine of the 10 basic(More)
A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four-dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D-CT images caused by irregular breathing, as well as improve delivery(More)