COMPTUTATIONAL MODELS OF CORTICAL MAP REORGANIZATION

皮质图重组的计算模型

• 批准号: 3416223
• 负责人: JAMES A REGGIA
• 金额: $ 17.9万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3416223
• 关键词: brain mapping; computer program /software; computer simulation; disease /disorder model; model design /development; stroke

The broad, long-term objective of this proposed research is to develop, analyze and evaluate computer models of small cortical strokes. In particular, the reorganization of neocortical maps following simulated strokes will be examined. This research will thus complement traditional clinical and animal model approaches to studying cerebrovascular disease. It will shed light on the pathophysiology of post-stroke recovery and on the dynamics of neocortical information processing in general. The methods used in this research are as follows. Computer simulations referred to as neural models will be developed for several neocortical regions known to have topographic and computational maps: primary (SI) and secondary (SII) somatosensory cortex, primary (VI) visual cortex, motor (MI) cortex, and area 7a in parietal cortex. In each case it will be demonstrated that topographic or computational maps resembling those observed empirically emerge spontaneously as a result of synaptic modifications occurring during learning in the neural model. By varying each model region's underlying network structure, activation mechanism, learning method, or other parameters, the role of each of these factors in map formation will be examined. Subsequently, each model will be lesioned ("simulated stroke"). The resultant post-lesion map reorganization will be characterized as lesion size and location are systematically varied. This characterization will make testable predictions that can be investigated in future clinical or laboratory studies. This work will be done by a multidisciplinary research group with expertise in neurology, neurophysiology and computer science.

这项拟议的研究的广泛，长期目标是发展， 分析和评估小皮质中风的计算机模型。 在 特别是在模拟后的新皮层图的重组 中风将进行检查。 因此，这项研究将补充传统 研究脑血管疾病的临床和动物模型方法。 它将阐明中风后恢复的病理生理学和 通常，新皮质信息处理的动力学。 这项研究中使用的方法如下。 计算机模拟 称为神经模型将为几种新皮质开发 已知具有地形图和计算图的区域：主要（SI）和 次级（SII）体感皮质，主要（VI）视觉皮层，电动机 （MI）皮质，以及顶叶皮层区域7a。 在每种情况下都是 证明了类似于这些的地形图或计算图 突触从经验上自发观察到 在神经模型中学习过程中发生的修改。 通过变化 每个模型区域的基础网络结构，激活机制， 学习方法或其他参数，这些因素在 将检查地图形成。 随后，每个模型将被损害 （“模拟中风”）。 由此产生的宫颈后地图重组将是 被系统地变化为病变大小和位置。 这 表征将进行可测试的预测，可以在 未来的临床或实验室研究。 这项工作将由 具有神经病学专业知识的多学科研究小组， 神经生理学和计算机科学。