Towards blueprints for network architecture, biophysical dynamics and signal transduction
Towards blueprints for network architecture, biophysical dynamics and signal transduction
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DOI：
10.1098/rsta.2006.1903
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发表时间：
2006-12-15
期刊：
影响因子：
5
通讯作者：
Shea-Brown, Eric
中科院分区：
文献类型：
--
作者：
Coombes, Stephen;Doiron, Brent;Shea-Brown, Eric
我们回顾了生物物理动力学、信号传导和网络架构的数学方面，这些方面已用于揭示单个神经元动力学与它们组成的网络之间在功能上重要的关系。我们关注的例子，结合联合收割机的见解，从这三个领域，以扩大我们的理解系统神经科学。这些范围从单个神经元编码到网络和群体的决策和电感歧视模型，以及树突对中的巧合检测和可兴奋树突棘的大型网络的动态。最后，我们描述了一些未来的挑战，应用数学界寻求提供的工具，这将最终支撑系统神经科学。
We review mathematical aspects of biophysical dynamics, signal transduction and network architecture that have been used to uncover functionally significant relations between the dynamics of single neurons and the networks they compose. We focus on examples that combine insights from these three areas to expand our understanding of systems neuroscience. These range from single neuron coding to models of decision making and electrosensory discrimination by networks and populations and also coincidence detection in pairs of dendrites and dynamics of large networks of excitable dendritic spines. We conclude by describing some of the challenges that lie ahead as the applied mathematics community seeks to provide the tools which will ultimately underpin systems neuroscience.