Changes in Brain Signal Variability as a Function of Learning and Expertise in Lexical Decision Making

大脑信号变异性的变化作为词汇决策学习和专业知识的函数

• 批准号: 418454-2013
• 负责人: Protzner, Andrea
• 金额: $ 2.7万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=551425
• 关键词: Changes; Brain; Signal; Variability; Function

In relating brain signals to cognition, the assumption is that behavioural processes will activate key regions of the brain. Much like a computer, the region is 'on' when the process it supports is required, and 'off' when the process is not required. Some critical features of brain organization suggest that we need to rethink this idea. Researchers have shown that the brain relies on both activity and variability to ensure optimal function, and that brain regions produce variable signal at all times (even when they are 'off' in the computer analogy). In fact, brain signal variability allows people to respond quickly and flexibly to environmental demands. Instead of a computer that turns on and off, think of the brain as a system in constant motion, and think of variability as the kinetic energy that allows this system to move easily from one network to another.

在将大脑信号与认知联系起来时，假设行为过程会激活大脑的关键区域。就像计算机一样，当需要它所支持的进程时，该区域是“开”的，而当不需要该进程时，该区域是“关”的。大脑组织的一些关键特征表明，我们需要重新思考这个想法。研究人员已经表明，大脑依赖于活动和可变性来确保最佳功能，并且大脑区域在任何时候都会产生可变的信号（即使在计算机模拟中它们是“关闭”的）。事实上，大脑信号的可变性使人们能够快速灵活地对环境需求做出反应。不要把大脑看作是一台可以开关的计算机，而要把大脑看作是一个不断运动的系统，把可变性看作是一种动能，使这个系统能够轻松地从一个网络移动到另一个网络。