The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The hippocampus as an associator of discontiguous events
Open accessAbstract
The hippocampus has long been thought to be an important cortical region for associative learning and memory. After several decades of experimental and theoretical studies, a picture is emerging slowly of the generic types of learning tasks that this neural structure might be essential for solving. Recently, there have been attempts to unify electrophysiological and behavioral observations from rodents performing spatial learning tasks with data from primates performing various tests of conditional and discrimination learning. Most of these theoretical frameworks have rested primarily on behavioral observations. Complementing these perspectives,we ask the question: given certain physiological constraints at the neuronal and cortical level, what class of learning problems is the hippocampus, in particular, most suited to solve? From a computational point of view, we argue that this structure is involved most critically in learning and memory tasks in which discontiguous items must be associated, in terms of their temporal or spatial positioning, or both.
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Cites
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Cited by
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
The human hippocampus and spatial and episodic memory
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Learning enhances adult neurogenesis in the hippocampal formation
Gould, E., Beylin, A., Tanapat, P., Reeves, A., & Shors, T. J. (1999) · Nature Neuroscience · doi:10.1038/6365 · Cited by 2,157
Eichenbaum (2004) · doi:10.1016/j.neuron.2004.08.028 · Cited by 1,464
The hippocampus and memory: insights from spatial processing
Bird, C. M., & Burgess, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2335 · Cited by 1,313
Metadata
- Authors
- Wallenstein, G. V., Hasselmo, M. E., & Eichenbaum, H.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 1998-08
- Volume
- 21
- Issue
- 8
- Pages
- 317-323
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W1966711088
- Cited by
- 531
- References
- 9
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.