论文标题
欣赏计算神经科学的各种目标
Appreciating the variety of goals in computational neuroscience
论文作者
论文摘要
在计算神经科学中，与建模者的非正式相互作用通常揭示出差异性的目标。在这篇文章中，我们明确解决了激励并最终影响建模工作的目标的多样性。我们认为，可以将广泛的目标视为最重要的目标。一项在互联网上进行的简单非正式调查证实了社区中目标的多样性。但是，单个研究人员的不同优先级或偏好可以导致不同的模型评估标准。我们提出，评估计算研究优点的许多分歧源于目标的差异，而不是构建，描述和验证模型的机制。我们建议作者在提出模型时明确规定其目标，以便其他人可以根据其既定目标来判断研究的质量。
Within computational neuroscience, informal interactions with modelers often reveal wildly divergent goals. In this opinion piece, we explicitly address the diversity of goals that motivate and ultimately influence modeling efforts. We argue that a wide range of goals can be meaningfully taken to be of highest importance. A simple informal survey conducted on the Internet confirmed the diversity of goals in the community. However, different priorities or preferences of individual researchers can lead to divergent model evaluation criteria. We propose that many disagreements in evaluating the merit of computational research stem from differences in goals and not from the mechanics of constructing, describing, and validating models. We suggest that authors state explicitly their goals when proposing models so that others can judge the quality of the research with respect to its stated goals.
