Computational influence of adult neurogenesis on memory encoding

Aimone, James, B., Wiles, Janet and Gage, Fred, H. (2009) Computational influence of adult neurogenesis on memory encoding. Neuron, 61 2: 187-202. doi:10.1016/j.neuron.2008.11.026

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Aimone, James, B.
Wiles, Janet
Gage, Fred, H.
Title Computational influence of adult neurogenesis on memory encoding
Journal name Neuron   Check publisher's open access policy
ISSN 0896-6273
Publication date 2009-01-29
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.neuron.2008.11.026
Open Access Status
Volume 61
Issue 2
Start page 187
End page 202
Total pages 16
Editor Katja Bose
Place of publication Cambridge, Mass, USA
Publisher Elsevier
Collection year 2010
Language eng
Subject C1
080108 Neural, Evolutionary and Fuzzy Computation
970108 Expanding Knowledge in the Information and Computing Sciences
970106 Expanding Knowledge in the Biological Sciences
Abstract Adult neurogenesis in the hippocampus leads to the incorporation of thousands of new granule cells into the dentate gyrus every month, but its function remains unclear. Here, we present computational evidence that indicates that adult neurogenesis may make three separate but related contributions to memory formation. First, immature neurons introduce a degree of similarity to memories learned at the same time, a process we refer to as pattern integration. Second, the extended maturation and change in excitability of these neurons make this added similarity a time-dependent effect, supporting the possibility that temporal information is included in new hippocampal memories. Finally, our model suggests that the experience-dependent addition of neurons results in a dentate gyrus network well suited for encoding new memories in familiar contexts while treating novel contexts differently. Taken together, these results indicate that new granule cells may affect hippocampal function in several unique and previously unpredicted ways.
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 163 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 180 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 03 Sep 2009, 08:39:56 EST by Mr Andrew Martlew on behalf of School of Information Technol and Elec Engineering