Machine Learning and Signal Processing for Advances in Neurotechnology

机器学习和信号处理促进神经技术的进步

• 批准号: RGPIN-2016-06633
• 负责人: Reilly, James
• 金额: $ 2.26万
• 依托单位: McMaster 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=637037
• 关键词: Machine; Learning; Signal; Processing; Advances

For as long as human beings have been able to think, we have been trying to understand our own brains. However, as Emerson M. Pugh points out, ``If the brain were so simple we could understand it, we would be so simple we couldn't.'' Despite this inherent enigma, there has been intense, multi-disciplinary activity directed towards the understanding of the human brain in recent times. Neuroscientists, biochemists, psychologists and others have already been engaged for many decades on this topic, with impressive results. However, only recently have mathematicians and engineers realized that they too have an important role to play in furthering progress in this area.

只要人类能够思考，我们就一直在努力了解自己的大脑。然而，正如爱默生M。Pugh指出，“如果大脑是如此简单，我们可以理解它，我们将是如此简单，我们不能。尽管有这个固有的谜团，但近年来，人们一直在进行激烈的、多学科的活动，以了解人类大脑。神经科学家，生物化学家，心理学家和其他人已经在这个话题上投入了几十年，并取得了令人印象深刻的成果。然而，直到最近，数学家和工程师才意识到，他们在推动这一领域的进步方面也发挥着重要作用。