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Network Design and the Brain
Trends in Cognitive Sciences ( IF 19.9 ) Pub Date : 2018-01-01 , DOI: 10.1016/j.tics.2017.09.012
Saket Navlakha , Ziv Bar-Joseph , Alison L. Barth

Neural circuits have evolved to accommodate similar information processing challenges as those faced by engineered systems. Here, we compare neural versus engineering strategies for constructing networks. During circuit development, synapses are overproduced and then pruned back over time, whereas in engineered networks, connections are initially sparse and are then added over time. We provide a computational perspective on these two different approaches, including discussion of how and why they are used, insights that one can provide the other, and areas for future joint investigation. By thinking algorithmically about the goals, constraints, and optimization principles used by neural circuits, we can develop brain-derived strategies for enhancing network design, while also stimulating experimental hypotheses about circuit development and function.

中文翻译:

网络设计与大脑

神经回路已经发展到能够适应与工程系统面临的类似的信息处理挑战。在这里,我们比较了构建网络的神经策略与工程策略。在电路开发过程中,突触会过度产生,然后随着时间的推移被修剪掉,而在工程网络中,连接最初是稀疏的,然后随着时间的推移而添加。我们提供了关于这两种不同方法的计算视角,包括讨论如何使用它们以及为什么使用它们,一个可以提供另一个的见解,以及未来联合调查的领域。通过算法思考神经回路使用的目标、约束和优化原则,我们可以开发出大脑衍生的策略来增强网络设计,
更新日期:2018-01-01
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