Dynamical Systems Tools and the Study of Neural Oscillations

动力系统工具和神经振荡的研究

• 批准号: RGPIN-2017-04349
• 负责人: Campbell, SueAnn
• 金额: $ 2.7万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=646763
• 关键词: Dynamical; Systems; Tools; Study; Neural

The brain is made up of cells called neurons which communicate with each other through electrical signals. The signal produced by a single neuron is a periodic train of pulses, with properties that depend on the characteristics of the individual neuron. Groups of neurons form networks which perform the functions of the brain such as storing and retrieving memories. The electrical activity of each network is generally also periodic, with properties that may change depending on the function the network performs and the state of the individual, for example sleeping vs waking. This proposal comprises studies of mathematical models ranging from detailed models of particular neurons which incorporate experimental data, to models of specific brain regions and models incorporating properties common to many brain networks. The research will use mathematics to understand how networks transform the periodic activity in a single neuron into the collective electrical activity of the network, often called a brain rhythm. One particular focus will be on how the time delay in the communication between neurons affects the activity that is produced. The results of this work may help understand how normal brain rhythms, such as those that occur during sleep, and destructive brain rhythms, such as epilepsy, occur.

大脑是由称为神经元的细胞组成的，它们通过电信号相互交流。由单个神经元产生的信号是周期性的脉冲串，其特性取决于单个神经元的特性。神经元组形成网络，执行大脑的功能，如存储和检索记忆。每个网络的电活动通常也是周期性的，其属性可能会根据网络执行的功能和个人的状态而变化，例如睡眠与清醒。该建议包括数学模型的研究，从包含实验数据的特定神经元的详细模型，到特定大脑区域的模型和包含许多大脑网络共同特性的模型。这项研究将使用数学来理解网络如何将单个神经元的周期性活动转化为网络的集体电活动，通常称为大脑节律。一个特别的焦点将是神经元之间通信的时间延迟如何影响产生的活动。这项工作的结果可能有助于理解正常的脑节律，如睡眠期间发生的脑节律，以及破坏性的脑节律，如癫痫，是如何发生的。