Switch to
| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
2
|
| pubmed:dateCreated |
1997-5-29
|
| pubmed:abstractText |
This study presents a dynamic model of how animals learn to regulate their behavior under time-based reinforcement schedules. The model assumes a serial activation of behavioral states during the interreinforcement interval, an associative process linking the states with the operant response, and a rule mapping the activation of the states and their associative strength onto response rate or probability. The model fits data sets from fixed-interval schedules, the peak procedure, mixed fixed-interval schedules, and the bisection of temporal intervals. The major difficulties of the model came from experiments that suggest that under some conditions animals may time 2 intervals independently and simultaneously.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Apr
|
| pubmed:issn |
0033-295X
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
104
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
241-65
|
| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:9127582-Animals,
pubmed-meshheading:9127582-Association Learning,
pubmed-meshheading:9127582-Conditioning, Operant,
pubmed-meshheading:9127582-Models, Psychological,
pubmed-meshheading:9127582-Periodicity,
pubmed-meshheading:9127582-Probability,
pubmed-meshheading:9127582-Reinforcement Schedule,
pubmed-meshheading:9127582-Time Factors
|
| pubmed:year |
1997
|
| pubmed:articleTitle |
Learning the temporal dynamics of behavior.
|
| pubmed:affiliation |
Department of Psychology, Indiana University, Bloomington 47405, USA. amachado@indiana.edu
|
| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, U.S. Gov't, Non-P.H.S.
|