Computer models of the electrical activities in hippocampal neurons

海马神经元电活动的计算机模型

• 批准号: 4486-2011
• 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: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=473845
• 关键词: Computer; models; electrical; activities; hippocampal

The main objectives of the proposed research program are: 1) Develop macroscopic and microscopic computer models to elucidate the nature of the brain's electrical activity under normal and pathological states (such as epilepsy). In particular, include mechanisms of neuroplasticity in the existing models to investigate their effects on system state transitions. Macroscopic models will characterize the "system" behaviour in terms of electrical brain rhythms using cognitive rhythm generator models (proposed by our lab team), and microscopic models will characterize ionic transport mechanisms in cellular models using stochastic Hodgkin-Huxley type models - that exhibit the noise-like activity recorded (by our lab team) from hyperpolarized hippocampal neurons. 2) Develop artificial neural networks that learn, the various brain states and their state transitions, from the biological neural networks. 3) Develop responsive stimulators, based on the above models, to abolish the onset of spontaneous seizure-like events. 4) Develop electronic hardware implementations of the computer models to be used as substitutes for damaged neurons in the learning and memory sites of the brain.

拟议的研究计划的主要目标是：1)开发宏观和微观的计算机模型，以阐明正常和病理状态(如癫痫)下大脑电活动的性质。特别是，在现有的模型中包括神经可塑性的机制，以研究它们对系统状态转换的影响。宏观模型将使用认知节奏生成器模型(由我们的实验室团队提出)来表征“系统”的行为，而微观模型将使用随机Hodgkin-Huxley类型的模型来表征细胞模型中的离子传输机制--该模型展示了(我们实验室团队)从超极化海马神经元记录的类噪声活动。2)开发人工神经网络，从生物神经网络中学习各种大脑状态及其状态转换。3)在上述模型的基础上开发反应刺激器，以消除自发发作的癫痫样事件的发生。4)开发计算机模型的电子硬件实现，以替代大脑学习和记忆区域中受损的神经元。