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Olfactory network dynamics and the coding of multidimensional signals
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“In order for a sparse sensory input to perturb a network, there must be sufficient network interconnectivity such that alterations in the activity of a few neurons can spread to other neurons in the network (Laurent, 2002; Rozell et al., 2008).”
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“The reduction in population responses may be a common feature of learning-driven changes in population coding (see also the motor skill learning section below), which could reduce overlaps between representations in space and time and facilitate decoding by downstream areas (Laurent, 2002).”
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Metadata
- Authors
- Laurent, G.
- Venue
- Nature Reviews Neuroscience
- Published
- 2002-11
- Volume
- 3
- Issue
- 11
- Pages
- 884-895
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2028281435
- Cited by
- 732
- References
- 2
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
