The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
A computational principle for hippocampal learning and neurogenesis
Abstract
In the three decades since Marr put forward his computational theory of hippocampal coding, many computational models have been built on the same key principles proposed by Marr: sparse representations, rapid Hebbian storage, associative recall and consolidation. Most of these models have focused on either the CA3 or CA1 fields, using "off-the-shelf" learning algorithms such as competitive learning or Hebbian pattern association. Here, we propose a novel coding principle that is common to all hippocampal regions, and from this one principal, we derive learning rules for each of the major pathways within the hippocampus. The learning rules turn out to have much in common with several models of CA3 and CA1 in the literature, and provide a unifying framework in which to view these models. Simulations of the complete circuit confirm that both recognition memory and recall are superior relative to a hippocampally lesioned model, consistent with human data. Further, we propose a functional role for neurogenesis in the dentate gyrus (DG), namely, to create distinct memory traces for highly similar items. Our simulation results support our prediction that memory capacity increases with the number of dentate granule cells, while neuronal turnover with a fixed dentate layer size improves recall, by minimizing interference between highly similar items.
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Cites
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“Neurogenesis is suppressed by adrenal hormones (Gould et al., 1992), and stress (Gould et al., 1998; Lemaire et al., 2000; McEwen and Magarinos, 2001) as well as in depression (Jacobs et al., 2000), which is associated with a loss of hippocampal volume (MacQueen et al., 2003).”
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Cited by
Mechanisms and Functional Implications of Adult Neurogenesis
Zhao, C., Deng, W., & Gage, F. H. (2008) · Cell · doi:10.1016/j.cell.2008.01.033 · Cited by 3,007
New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory?
Deng, W., Aimone, J. B., & Gage, F. H. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2822 · Cited by 2,120
Adult neurogenesis and functional plasticity in neuronal circuits
Lledo, P.-M., Alonso, M., & Grubb, M. S. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1867 · Cited by 1,366
Adult hippocampal neurogenesis in depression
Sahay, A., & Hen, R. (2007) · Nature Neuroscience · doi:10.1038/nn1969 · Cited by 1,206
Remembering the past and imagining the future: A neural model of spatial memory and imagery.
Byrne, P., Becker, S., & Burgess, N. (2007) · Psychological Review · doi:10.1037/0033-295x.114.2.340 · Cited by 1,011
Self-citation
Metadata
- Authors
- Becker, S.
- Venue
- Hippocampus
- Publisher
- Wiley
- Published
- 2005
- Volume
- 15
- Issue
- 6
- Pages
- 722-738
- ISSN
- 1050-9631 (ISSN-L)
- 1098-1063
- OpenAlex
- W2012389501
- Cited by
- 248
- References
- 18
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
