Computer models of the electrical rhythmic activities in hippocampal neurons

海马神经元电节律活动的计算机模型

• 批准号: RGPIN-2017-06431
• 负责人: Bardakjian, Berj
• 金额: $ 2.04万
• 依托单位: University of Toronto
• 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=636991
• 关键词: Computer; models; electrical; rhythmic; activities

(a) Develop macro and micro level computer models of the electrical rhythmic activity in hippocampal neuro-glial networks under normal and pathological states exhibiting seizure-like events (SLEs). (i) Macro level models characterize system behaviour by populations of coupled cognitive rhythm generator (CRG) models (previously reported by our lab team). Each CRG consists of an input layer of neuronal modes (whose transfer functions are measured from Volterra series or alternately chosen from predetermined design functions) for sensing the input environment. The outputs of the neuronal modes layer are feed-forward to a Winfree type ring device whose variables are mapped by a static nonlinearity (representing the wave shape) into an observable output variable. The frequencies of the ring device are modulated by the outputs of the neuronal modes to provide “responsive adaptation” to changes in the input environment. Coupled CRGs are utilized to model pathological states and are used as testing platforms of neuromodulation strategies for abolishment of SLEs. (ii) Micro level models of traditional and "stochastic" Hodgkin-Huxley type models to characterize ionic transport mechanisms in "cellular" models of pyramidal, interneuron and glial cells. These models are used to investigate (1) the effects of astrocytes on hyper-excitability, and (2) the mechanisms of cross frequency coupling in the electrical rhythms of the neuro-glial networks characterizing their states.

(a)建立海马神经胶质细胞网络在正常和病理状态下表现出神经元样事件（SLEs）的电节律活动的宏观和微观水平的计算机模型。(i)宏观层面的模型通过耦合认知节律发生器（CRG）模型（先前由我们的实验室团队报告）来表征系统行为。每个CRG包括用于感测输入环境的神经元模式的输入层（其传递函数从沃尔泰拉级数测量或可选地从预定设计函数中选择）。神经元模式层的输出被前馈到Winfree型环设备，其变量由静态非线性（表示波形）映射到可观察的输出变量。环装置的频率由神经元模式的输出调制，以提供对输入环境中的变化的“响应适应”。耦合CRG用于模拟病理状态，并用作消除SLE的神经调节策略的测试平台。(ii)传统和“随机”霍奇金-赫胥黎型模型的微观水平模型，以表征锥体细胞、中间神经元和神经胶质细胞的“细胞”模型中的离子转运机制。这些模型用于研究（1）星形胶质细胞对超兴奋性的影响，以及（2）表征其状态的神经胶质细胞网络电节律中的交叉频率耦合机制。