Functional consequences of model complexity in rhythmic systems: II. Systems performance of model and hybrid oscillators.
Functional consequences of model complexity in rhythmic systems: II. Systems performance of model and hybrid oscillators.
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节奏系统中模型复杂性的功能后果:II。
DOI:
10.1088/1741-2560/4/3/003
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发表时间:
2007
影响因子:
4
通讯作者:
DeWeerth,SP
中科院分区:
文献类型:
--
作者:
Sorensen,ME;DeWeerth,SP
Neural models are increasingly being used as design components of physical systems. In order to best use models in these novel contexts, we must develop design rules that describe how decisions in model construction relate to the functional performance of the resulting system. In the accompanying paper, we described a series of related neuron models of varying complexity. Here, we use these models to build several half-center oscillators, and investigate how model complexity influences the robustness and flexibility of these oscillators. Our results indicate that model complexity has a significant effect on the robustness and flexibility of systems that incorporate neural models.