Author: Dr. David Lowemann

Composition as Nonlinear Combination in Semantic Space: A Computational Characterization of Compound Processing

Abstract Most Chinese words are compounds formed through the combination of meaningful characters. Yet, due to compositional complexity, it is poorly understood how this combinatorial process affects the access to the whole-word meaning. In the present study, we turned to the recent development in compositional distributional semantics, and employed a deep neural network to learn […]

Published on February 3, 2025

Virtual Partners Improve Synchronization in Human−Machine Trios

Abstract The interplay between auditory and motor processes in sensorimotor synchronization is crucial for achieving a cohesive group performance, particularly in musical groups. This study addressed the impact of virtual partners on synchronization performance in human trios. With a novel methodology, the study utilized virtual partners driven by computational models to simulate real-time synchronization with […]

Published on February 3, 2025