Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis
Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis
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DOI：
10.1111/j.1460-9568.2011.07615.x
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发表时间：
2011-03-01
影响因子：
3.4
通讯作者：
Gage, Fred H.
中科院分区：
文献类型：
--
作者：
Aimone, James B.;Gage, Fred H.
成人神经发生是一个复杂的生物学过程，其功能对神经科学研究人员来说一直是个谜。为了解决这个问题，一些独特的建模研究探索了将新神经元添加到成年齿状回的计算含义。神经发生的模型分为两大类：探索简单网络中新神经元功能的抽象模型，以及基于海马体解剖的生物模型，研究新神经元在网络中的作用。在这篇综述中，我们总结了这些不同建模方法的策略和结果，并讨论了它们在面对新的生物学发现时的结论和局限性。
Adult neurogenesis is a sophisticated biological process whose function has remained a mystery to neuroscience researchers. To address this question, a number of unique modeling studies have explored the computational implications of adding new neurons to the adult dentate gyrus. Models of neurogenesis fall into two broad categories: abstract models that explore the function of new neurons in simple networks, and biologically based models that investigate the role of new neurons in networks based on the anatomy of the hippocampus. In this review, we summarize the strategies and results of these different modeling approaches, and we discuss their conclusions and limitations in the face of new biological findings.