Multisensory signals used for learning

用于学习的多感官信号

• 批准号: RGPIN-2017-05647
• 负责人: DeSouza, Joseph
• 金额: $ 1.82万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=631131
• 关键词: Multisensory; signals; used; learning

My research focuses on the integration of multisensory signals in the brain and how they are used to drive movement. To do this, I utilize fMRI, EEG, MEG and eye-tracking techniques to study dancers and healthy controls. Dance is ideal because it incorporates vision, audition, touch, and somatosensation to plan, execute, and correct movement. My studies examine expert dancers, amateurs, and people dancing for therapy. Learning how multisensory signals may be used to train the brain could have far-reaching applications in helping to fine-tune the way we all learn to move, or learning to circumvent damaged motor circuits.

我的研究重点是大脑中多感官信号的整合以及它们如何用于驱动运动。为了做到这一点，我利用功能磁共振成像，脑电图，脑磁图和眼动跟踪技术来研究舞者和健康对照。舞蹈是理想的，因为它结合了视觉，听觉，触觉和体感来计划，执行和纠正运动。我的研究调查了专业舞者、业余舞者和为治疗而跳舞的人。了解多感官信号如何用于训练大脑可能具有深远的应用，有助于微调我们所有人学习移动的方式，或学习绕过受损的运动回路。