Centre for Theoretical Neuroscience, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1.
Centre for Theoretical Neuroscience, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1.
Curr Opin Neurobiol. 2014 Apr;25:1-6. doi: 10.1016/j.conb.2013.09.009. Epub 2013 Oct 11.
We provide an overview and comparison of several recent large-scale brain models. In addition to discussing challenges involved with building large neural models, we identify several expected benefits of pursuing such a research program. We argue that these benefits are only likely to be realized if two basic guidelines are made central to the pursuit. The first is that such models need to be intimately tied to behavior. The second is that models, and more importantly their underlying methods, should provide mechanisms for varying the level of simulated detail. Consequently, we express concerns with models that insist on a 'correct' amount of detail while expecting interesting behavior to simply emerge.
我们提供了几个最近的大型大脑模型的概述和比较。除了讨论构建大型神经模型所涉及的挑战外，我们还确定了追求这样的研究计划的几个预期好处。我们认为，如果将以下两个基本准则作为追求的核心，这些好处才更有可能实现。首先，此类模型需要与行为紧密结合。其次，模型，更重要的是其底层方法，应该提供用于改变模拟细节程度的机制。因此，我们对那些坚持“正确”细节量的模型表示担忧，而期望有趣的行为能够简单地出现。
