Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis

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Adult Neurogenesis in the Mammalian Brain: Significant Answers and Significant Questions (2011, background): “…system level, a number of computational models of adult neurogenesis have provided clues on how the addition of new neurons may alter neural network properties and have suggested distinct roles for adult-born neurons at different stages of neuronal maturation (reviewed by Aimone and Gage, 2011).”
Neurogenesis deep learning: Extending deep networks to accommodate new classes (2016, background): “Indeed, neurogenesis and similar processes have been shown to have this benefit in a number of studies using shallow neural networks [11]-[18], although these studies have typically focused on more conventional transfer learning, as opposed to the continuous adaptation to learning considered here.”
Resolving new memories: a critical look at the dentate gyrus, adult neurogenesis, and pattern separation (2011, background): “…consistent with the memory resolution mechanism shown in Figure 3: old neurons are responsible for encoding features similar to familiar memories and new neurons tend to be better suited for encoding novel features that are poorly encoded by the older neurons in the network (Aimone and Gage, 2011).”