Department of Psychology, Concordia University, Montreal, QC, Canada; Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Department of Psychology, Concordia University, Montreal, QC, Canada; Department of Mechanical Engineering, Ecole de Technologie Supérieure (ETS), Montreal, QC, Canada.
Neuropsychologia. 2024 Jul 29;200:108903. doi: 10.1016/j.neuropsychologia.2024.108903. Epub 2024 May 13.
Cognitive neuroscience has considerable untapped potential to translate our understanding of brain function into applications that maintain, restore, or enhance human cognition. Complex, real-world phenomena encountered in daily life, professional contexts, and in the arts, can also be a rich source of information for better understanding cognition, which in turn can lead to advances in knowledge and health outcomes. Interdisciplinary work is needed for these bi-directional benefits to be realized. Our cognitive neuroscience team has been collaborating on several interdisciplinary projects: hardware and software development for brain stimulation, measuring human operator state in safety-critical robotics environments, and exploring emotional regulation in actors who perform traumatic narratives. Our approach is to study research questions of mutual interest in the contexts of domain-specific applications, using (and sometimes improving) the experimental tools and techniques of cognitive neuroscience. These interdisciplinary attempts are described as case studies in the present work to illustrate non-trivial challenges that come from working across traditional disciplinary boundaries. We reflect on how obstacles to interdisciplinary work can be overcome, with the goals of enriching our understanding of human cognition and amplifying the positive effects cognitive neuroscientists have on society and innovation.
认知神经科学具有巨大的潜力尚未开发,可以将我们对大脑功能的理解转化为应用,以维持、恢复或增强人类认知。日常生活、专业环境和艺术中遇到的复杂、真实世界的现象,也可以为更好地理解认知提供丰富的信息,从而促进知识和健康结果的进步。为了实现这些双向的好处,需要进行跨学科的工作。我们的认知神经科学团队一直在合作进行几个跨学科项目:脑刺激的硬件和软件开发、在安全关键型机器人环境中测量人类操作人员的状态,以及探索在表演创伤性叙述的演员中的情绪调节。我们的方法是在特定领域应用的背景下研究相互感兴趣的研究问题,使用(有时会改进)认知神经科学的实验工具和技术。在本工作中,这些跨学科的尝试被描述为案例研究,以说明跨越传统学科界限所带来的非平凡挑战。我们反思了如何克服跨学科工作的障碍,目标是丰富我们对人类认知的理解,并放大认知神经科学家对社会和创新的积极影响。