A putative role for neurogenesis in neuro-computational terms: inferences from a hippocampal model.
By Victoria I. Weisz, P. Argibay. 2009
74 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- James Bradley Aimone
- Fred H. Gage
- Wei Deng
- Spyridon Chavlis
- Panayiota Poirazi
- Hongjun Song
- Guo-li Ming
- R. Hen
In Cognitive Neuroscience
- Fred H. Gage
- James Bradley Aimone
- Spyridon Chavlis
- Panayiota Poirazi
- Wei Deng
- Hongjun Song
- Guo-li Ming
- R. Silver
In Developmental Neuroscience
- James Bradley Aimone
- Fred H. Gage
- Wei Deng
- Panayiota Poirazi
- Spyridon Chavlis
- Hongjun Song
- Guo-li Ming
- R. Hen
Citations in the corpus
- Pattern separation in the hippocampus through the eyes of computational modeling (2017, result): “On the contrary, results from other models suggested that neurogenesis does not have a significant contribution to pattern separation (Finnegan & Becker, 2015; Weisz & Argibay, 2009) but does help pattern completion (Weisz & Argibay, 2009).”
- Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis (2011, methodology): “…is reduced (Shors et al. , 2001) by citing a lack of pattern integration by new neurons (Aimone et al. , 2009), or this deficit could be simply an example of a novel memory whose acquisition is impaired for capacity reasons (Chambers et al. , 2004; Deisseroth et al. , 2004; Weisz & Argibay, 2009).”
- Resolving new memories: a critical look at the dentate gyrus, adult neurogenesis, and pattern separation (2011, background): “Several modeling studies, including our own, have noted that the presence of more active immature neurons in the DG would impair pattern separation in the classic sense since it would increase correlations across the GCs' responses to inputs (Aimone et al., 2009; Weisz and Argibay, 2009).”