论文标题
计算和大脑的新时代
A New Age of Computing and the Brain
论文作者
论文摘要
计算机科学和脑科学的历史是交织在一起的。冯·诺伊曼(Von Neumann)在未完成的手稿“计算机和大脑”中辩论是否可以将大脑视为计算机,并确定自然和人工计算之间的某些相似性和差异。图灵(Turing)在1950年的文章中认为,计算设备最终可以效仿智力,从而导致他提出的图灵测试。赫伯特·西蒙(Herbert Simon)在1957年预测,大多数心理理论将采用计算机程序的形式。 1976年,戴维·马尔(David Marr)提出,可以在不依赖基础物理基材的计算和算法水平上抽象和研究视觉系统的功能。 2014年12月,在华盛顿特区召集了由计算社区联盟(CCC)和国家科学基金会的计算机和信息科学与工程局(NSF CISE)支持的为期两天的研讨会,目的是将计算机科学家和大脑研究人员汇集在一起,以召集这些新的机会和联系,探索这些新的,现代的研究社区之间。具体来说,我们的目标是:1。在脑科学和计算的界面上阐明研究概念框架,并以这种方式介绍这种界面中的关键问题,并以一种将CISE和大脑研究人员吸引到该空间中的方式。 2。为了告知和激发CISE研究社区中的研究人员有关大脑研究机会的信息,并识别和解释他们在推进这项计划中可以发挥的战略作用。 3。在脑科学和CISE研究人员之间建立新的联系,对话和合作,这将导致高度相关和竞争性的建议,高影响力的研究和有影响力的出版物。
The history of computer science and brain sciences are intertwined. In his unfinished manuscript "The Computer and the Brain," von Neumann debates whether or not the brain can be thought of as a computing machine and identifies some of the similarities and differences between natural and artificial computation. Turing, in his 1950 article in Mind, argues that computing devices could ultimately emulate intelligence, leading to his proposed Turing test. Herbert Simon predicted in 1957 that most psychological theories would take the form of a computer program. In 1976, David Marr proposed that the function of the visual system could be abstracted and studied at computational and algorithmic levels that did not depend on the underlying physical substrate. In December 2014, a two-day workshop supported by the Computing Community Consortium (CCC) and the National Science Foundation's Computer and Information Science and Engineering Directorate (NSF CISE) was convened in Washington, DC, with the goal of bringing together computer scientists and brain researchers to explore these new opportunities and connections, and develop a new, modern dialogue between the two research communities. Specifically, our objectives were: 1. To articulate a conceptual framework for research at the interface of brain sciences and computing and to identify key problems in this interface, presented in a way that will attract both CISE and brain researchers into this space. 2. To inform and excite researchers within the CISE research community about brain research opportunities and to identify and explain strategic roles they can play in advancing this initiative. 3. To develop new connections, conversations and collaborations between brain sciences and CISE researchers that will lead to highly relevant and competitive proposals, high-impact research, and influential publications.