Neil Davey

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About

Neil Davey’s research bridges robotics, neuroscience, and therapeutic intervention, with a focus on creating intelligent systems that interact meaningfully with humans and their environments. His most prominent contribution is the design and development of QueBall, a robotic device for autism therapy, which has garnered 34 citations since 2014. This work addresses the critical need for accessible, engaging tools to support children on the autism spectrum—a population affecting 1 in 68 children in the U.S. alone. By leveraging robotic interaction, Davey’s research offers a novel pathway for improving social and communication skills in a controlled, repeatable manner. In parallel, his exploration of neural controllers for robotics, such as in his 2009 study on lateral inhibition in spiking neural networks, demonstrates a deep engagement with bio-inspired computation. Though less cited, this work contributes to understanding how sensory processing—like visual adaptation—can be modeled to create more adaptive robots. Davey’s interdisciplinary approach, combining engineering, cognitive science, and clinical application, positions him as a researcher committed to translating computational principles into real-world impact, particularly for vulnerable populations.