De Schutter Erik, Ekeberg Orjan, Kotaleski Jeanette Hellgren, Achard Pablo, Lansner Anders
Laboratory of Theoretical Neurobiology, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium.
Trends Neurosci. 2005 Oct;28(10):562-9. doi: 10.1016/j.tins.2005.08.002.
Realistic bottom-up modelling has been seminal to understanding which properties of microcircuits control their dynamic behaviour, such as the locomotor rhythms generated by central pattern generators. In this article of the TINS Microcircuits Special Feature, we review recent modelling work on the leech-heartbeat and lamprey-swimming pattern generators as examples. Top-down mathematical modelling also has an important role in analyzing microcircuit properties but it has not always been easy to reconcile results from the two modelling approaches. Most realistic microcircuit models are relatively simple and need to be made more detailed to represent complex processes more accurately. We review methods to add neuromechanical feedback, biochemical pathways or full dendritic morphologies to microcircuit models. Finally, we consider the advantages and challenges of full-scale simulation of networks of microcircuits.
逼真的自下而上建模对于理解微电路的哪些特性控制其动态行为至关重要,比如由中枢模式发生器产生的运动节律。在本期《神经科学趋势》微电路专题文章中,我们以水蛭心跳和七鳃鳗游泳模式发生器为例,回顾了近期的建模工作。自上而下的数学建模在分析微电路特性方面也发挥着重要作用,但要协调这两种建模方法的结果并非总是易事。大多数逼真的微电路模型相对简单,需要进一步细化以更准确地表示复杂过程。我们回顾了向微电路模型中添加神经机械反馈、生化途径或完整树突形态的方法。最后,我们考虑了微电路网络全尺度模拟的优势和挑战。