Behaviour of large networks of neurons in a functioning organ: a realistic computer-based model of the enteric nervous system

功能器官中大型神经元网络的行为：基于计算机的真实肠神经系统模型

• 批准号: ARC : DP0210004
• 负责人: A/Prof Joel C. Bornstein
• 金额: $ 15.5万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/behaviour-large-networks-nervous-system/70895
• 关键词: Behaviour; large; networks; neurons; functioning

Behaviour of large networks of neurons in a functioning organ: a realistic computer-based model of the enteric nervous system. The organisation of the gut nervous system is well understood, but how nerve cells cooperate to control gut movements and secretions are matters of conjecture. We will test these conjectures by simulating the behaviour of the gut nervous system using an anatomically and physiologically realistic computer model to predict the way the gut responds to specific stimuli and test these predictions using novel methods for recording gut movements and nervous activity. This will provide the first complete description of how a mammalian nervous system generates complex behaviours and will provide substantial pointers to how other nervous systems achieve similar tasks.

功能器官中大型神经元网络的行为：肠神经系统的现实计算机模型。肠道神经系统的组织已经很好地理解了，但是神经细胞如何合作来控制肠道运动和分泌物仍然是推测的问题。我们将通过使用解剖学和生理学上真实的计算机模型模拟肠道神经系统的行为来测试这些猜测，以预测肠道对特定刺激的反应方式，并使用记录肠道运动和神经活动的新方法来测试这些预测。这将首次完整描述哺乳动物神经系统如何产生复杂的行为，并将为其他神经系统如何完成类似任务提供实质性的指导。