Bennani Omar, Chauvet Gilbert, Chauvet Pierre, Dupont Jean-Marc, Jouen Francois
CHArt, Ecole Pratique des Hautes Etudes, 41 rue Gay-Lussac Paris, 75005, France.
J Integr Neurosci. 2009 Mar;8(1):49-76. doi: 10.1142/s0219635209002083.
The modeling and simulation of a realistic nervous tissue are difficult because of the number of implied cell types (neuronal and glial), the topology of the networks, and the various heterogeneous molecular mechanisms. The MTIP (Mathematical Theory of Integrative Physiology) is used as a new modeling approach based on a representation in terms of functional interactions and a formalism (S-Propagator) related to n-level field theory. This work presents the passage from a theoretical description of the biological system to a computing implementation in the general case. The specific case of the hippocampus is presented, as well as how a drug allows learning and memory improvement in the local circuit of the CA1 area of the hippocampus. This in silico result is used to experimentally predict the drug effect in vitro to confirm the accuracy of MTIP.
由于所涉及的细胞类型数量（神经元和神经胶质细胞）、网络拓扑结构以及各种异质分子机制，对逼真的神经组织进行建模和模拟颇具难度。MTIP（整合生理学数学理论）被用作一种新的建模方法，它基于功能相互作用的表示以及与n级场论相关的形式体系（S传播子）。这项工作展示了在一般情况下从生物系统的理论描述到计算实现的过程。文中呈现了海马体的具体案例，以及一种药物如何在海马体CA1区的局部回路中促进学习和改善记忆。这个计算机模拟结果被用于实验性地预测该药物在体外的效果，以证实MTIP的准确性。
