Linked Life Data

14534588

Source:http://linkedlifedata.com/resource/pubmed/id/14534588

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6958
pubmed:dateCreated
2003-10-9
pubmed:abstractText
The notion that behaviour influences perception seems self-evident, but the mechanism of their interaction is not known. Perception and behaviour are usually considered to be separate processes. In this view, perceptual learning constructs compact representations of sensory events, reflecting their statistical properties, independently of behavioural relevance. Behavioural learning, however, forms associations between perception and action, organized by reinforcement, without regard for the construction of perception. It is generally assumed that the interaction between these two processes is internal to the agent, and can be explained solely in terms of the neuronal substrate. Here we show, instead, that perception and behaviour can interact synergistically via the environment. Using simulated and real mobile robots, we demonstrate that perceptual learning directly supports behavioural learning and so promotes a progressive structuring of behaviour. This structuring leads to a systematic bias in input sampling, which directly affects the organization of the perceptual system. This external, environmentally mediated feedback matches the perceptual system to the emerging behavioural structure, so that the behaviour is stabilized.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1476-4687
pubmed:author
pubmed:issnType
Electronic
pubmed:day
9
pubmed:volume
425
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
620-4
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Environmentally mediated synergy between perception and behaviour in mobile robots.
pubmed:affiliation
Institute of Neuroinformatics, University/Swiss Federal Institute of Technology (ETH) Zürich, CH-8057 Zürich, Switzerland. pfmjv@ini.phys.ethz.ch
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't