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Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis
Author(s) -
Aimone James B.,
Gage Fred H.
Publication year - 2011
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/j.1460-9568.2011.07615.x
Subject(s) - neurogenesis , neuroscience , dentate gyrus , computational neuroscience , cognitive science , process (computing) , hippocampus , systems neuroscience , computational model , psychology , function (biology) , computer science , biology , artificial intelligence , evolutionary biology , myelin , central nervous system , oligodendrocyte , operating system
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.