Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max-von-Laue-Str. 4, 60438 Frankfurt, Germany.
Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max-von-Laue-Str. 4, 60438 Frankfurt, Germany; School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany.
Curr Opin Neurobiol. 2017 Oct;46:39-47. doi: 10.1016/j.conb.2017.07.004. Epub 2017 Aug 1.
How are neural circuits organized and tuned to achieve stable function and produce robust behavior? The organization process begins early in development and involves a diversity of mechanisms unique to this period. We summarize recent progress in theoretical neuroscience that has substantially contributed to our understanding of development at the single neuron, synaptic and network level. We go beyond classical models of topographic map formation, and focus on the generation of complex spatiotemporal activity patterns, their role in refinements of particular circuit features, and the emergence of functional computations. Aided by the development of novel quantitative methods for data analysis, theory and computational models have enabled us to test the adequacy of specific assumptions, explain experimental data and propose testable hypotheses. With the accumulation of experimental data, theory and models will likely play an even more important role in understanding the development of neural circuits.
神经回路如何组织和调谐以实现稳定的功能并产生稳健的行为?组织过程在早期发育中开始,并涉及到这一时期特有的多种机制。我们总结了理论神经科学的最新进展,这些进展大大促进了我们对单个神经元、突触和网络水平发育的理解。我们超越了拓扑图形成的经典模型,专注于生成复杂的时空活动模式,以及它们在特定回路特征的细化中的作用,以及功能计算的出现。借助于用于数据分析的新型定量方法的发展,理论和计算模型使我们能够测试特定假设的充分性,解释实验数据并提出可测试的假设。随着实验数据的积累,理论和模型很可能在理解神经回路的发育方面发挥更重要的作用。