Computer models of the electrical activities in hippocampal neurons

本研究计划的主要目的为：1）建立宏观和微观计算机模型，以阐明正常和病理状态（如癫痫）下大脑电活动的本质。特别是，包括现有模型中的神经可塑性机制，以研究其对系统状态转换的影响。宏观模型将使用认知节律发生器模型（由我们的实验室团队提出）根据脑电节律来表征“系统”行为，微观模型将使用随机Hodgkin-Huxley型模型来表征细胞模型中的离子转运机制-表现出超极化海马神经元记录的噪声样活动（由我们的实验室团队）。2)开发人工神经网络，从生物神经网络学习各种大脑状态及其状态转换。3)基于上述模型，开发反应性刺激物，以消除自发性癫痫样事件的发作。4)开发计算机模型的电子硬件实现，以用作大脑学习和记忆部位受损神经元的替代品。

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.