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Biologists synthesize research articles into coherent models—ideally, causal models, which predict how systems will respond to interventions. But it is challenging to derive causal models from articles alone, without primary data. To enable causal discovery using only literature, we built software for annotating empirical results in free text and computing valid explanations, expressed as causal graphs...
In this paper, we present a general internal model (GIM) approach for motion skill learning at elementary and coordination levels. A unified internal model (IM) is developed for describing discrete and rhythmic movements. Through analysis, we show that the GIM possesses temporal and spatial scalabilities which are defined as the ability to generate similar movement patterns directly by means of tuning...
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