Linked Life Data

18400925

Source:http://linkedlifedata.com/resource/pubmed/id/18400925

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-4-10
pubmed:abstractText
Recent advances in the understanding of spatial cognition are reviewed, focusing on memory for locations in large-scale space and on those advances inspired by single-unit recording and lesion studies in animals. Spatial memory appears to be supported by multiple parallel representations, including egocentric and allocentric representations, and those updated to accommodate self-motion. The effects of these representations can be dissociated behaviorally, developmentally, and in terms of their neural bases. It is now becoming possible to construct a mechanistic neural-level model of at least some aspects of spatial memory and imagery, with the hippocampus and medial temporal lobe providing allocentric environmental representations, the parietal lobe egocentric representations, and the retrosplenial cortex and parieto-occipital sulcus allowing both types of representation to interact. Insights from this model include a common mechanism for the construction of spatial scenes in the service of both imagery and episodic retrieval and a role for the remainder of Papez's circuit in orienting the viewpoint used. In addition, it appears that hippocampal and striatal systems process different aspects of environmental layout (boundaries and local landmarks, respectively) and do so using different learning rules (incidental learning and associative reinforcement, respectively).
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0077-8923
pubmed:author
pubmed:issnType
Print
pubmed:volume
1124
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
77-97
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Spatial cognition and the brain.
pubmed:affiliation
Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK. n.burgess@ucl.ac.uk
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't