Strasheela: Design and usage of a music composition environment based on the Oz programming model

Strasheela provides a means for the composer to create a symbolic score by formally describing it in a rule-based way. The environment defines a rich music representation for complex polyphonic scores. Strasheela enables the user to define expressive compositional rules and then to apply them to the score. Compositional rules can restrict many aspects of the music - including the rhythmic structure, the melodic structure and the harmonic structure - by constraining the parameters (e.g. duration or pitch) of musical events according to some numerical or logical relation. Strasheela combines this expressivity with efficient search strategies.

Situating relational ontology and transformative activist stance within the ‘everyday’ practice of coteaching and cogenerative dialogue.

This paper attempts to advance the thinking in Stetsenko’s paper by situating the concepts of relational ontology and transformative activist stance in the context of coteaching and cogenerative dialogue. In so doing, we hope to make Stetsenko’s ideas more operational in terms of access and application by researchers, teachers, policy makers and other stakeholders in education. Stetsenko argues that moving from relational ontology to a transformative activist stance can be considered as moving from participation to contribution. When this model was applied to coteaching and cogenerative dialogue, it was apparent that the coteaching and cogenerative dialogue moved further, from contribution to shared contribution, adding even greater potential for transformation. The paper also discusses the use of cultural historical activity theory in articulating the relationships, dynamics and interpretations of coteaching and cogenerative dialogue in relation to the wider context of their application.

How position, velocity, and temporal information combine in the prospective control of catching:data and model

The cerebral cortex contains circuitry for continuously computing properties of the environment and one's body, as well as relations among those properties. The success of complex perceptuomotor performances requires integrated, simultaneous use of such relational information. Ball catching is a good example as it involves reaching and grasping of visually pursued objects that move relative to the catcher. Although integrated neural control of catching has received sparse attention in the neuroscience literature, behavioral observations have led to the identification of control principles that may be embodied in the involved neural circuits. Here, we report a catching experiment that refines those principles via a novel manipulation. Visual field motion was used to perturb velocity information about balls traveling on various trajectories relative to a seated catcher, with various initial hand positions. The experiment produced evidence for a continuous, prospective catching strategy, in which hand movements are planned based on gaze-centered ball velocity and ball position information. Such a strategy was implemented in a new neural model, which suggests how position, velocity, and temporal information streams combine to shape catching movements. The model accurately reproduces the main and interaction effects found in the behavioral experiment and provides an interpretation of recently observed target motion-related activity in the motor cortex during interceptive reaching by monkeys. It functionally interprets a broad range of neurobiological and behavioral data, and thus contributes to a unified theory of the neural control of reaching to stationary and moving targets.