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WeightNameValue
1000 Titel
  • Rapid learning dynamics in individual honeybees during classical conditioning
1000 Autor/in
  1. Pamir, Evren |
  2. Schreiner, Ricarda |
  3. Nawrot, Martin P. |
  4. Szyszka, Paul |
1000 Erscheinungsjahr 2014
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2014-09-15
1000 Erschienen in
1000 Quellenangabe
  • 8: 313
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2014
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fnbeh.2014.00313 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164006/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Associative learning in insects has been studied extensively by a multitude of classical conditioning protocols. However, so far little emphasis has been put on the dynamics of learning in individuals. The honeybee is a well-established animal model for learning and memory. We here studied associative learning as expressed in individual behavior based on a large collection of data on olfactory classical conditioning (25 datasets, 3298 animals). We show that the group-averaged learning curve and memory retention score confound three attributes of individual learning: the ability or inability to learn a given task, the generally fast acquisition of a conditioned response (CR) in learners, and the high stability of the CR during consecutive training and memory retention trials. We reassessed the prevailing view that more training results in better memory performance and found that 24 h memory retention can be indistinguishable after single-trial and multiple-trial conditioning in individuals. We explain how inter-individual differences in learning can be accommodated within the Rescorla–Wagner theory of associative learning. In both data-analysis and modeling we demonstrate how the conflict between population-level and single-animal perspectives on learning and memory can be disentangled.
1000 Sacherschließung
lokal sucrose sensitivity
lokal sucrose responsiveness
lokal learning curve
lokal Rescorla–Wagner model
lokal classical conditioning
lokal single-trial learning
lokal Apis mellifera
lokal proboscis extension response (PER)
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/UGFtaXIsIEV2cmVu|https://frl.publisso.de/adhoc/creator/U2NocmVpbmVyLCBSaWNhcmRh|https://frl.publisso.de/adhoc/creator/TmF3cm90LCBNYXJ0aW4gUC4=|http://orcid.org/0000-0003-2043-6656
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung (BMBF) |
  2. Deutsche Forschungsgemeinschaft (DFG) |
1000 Fördernummer
  1. 01GQ0941; 01GQ0931
  2. SCHE 1573/2-1
1000 Förderprogramm
  1. funding initiative Bernstein Focus Neural Basis of Learning
  2. Research Training Group 1589 Sensory Computation in Neural Systems; Heisenberg grant
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung (BMBF) |
    1000 Förderprogramm funding initiative Bernstein Focus Neural Basis of Learning
    1000 Fördernummer 01GQ0941; 01GQ0931
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft (DFG) |
    1000 Förderprogramm Research Training Group 1589 Sensory Computation in Neural Systems; Heisenberg grant
    1000 Fördernummer SCHE 1573/2-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6405913.rdf
1000 Erstellt am 2017-12-18T16:46:46.930+0100
1000 Erstellt von 218
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1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2020-12-07T13:43:53.775+0100
1000 Objekt bearb. Mon Dec 07 13:43:53 CET 2020
1000 Vgl. frl:6405913
1000 Oai Id
  1. oai:frl.publisso.de:frl:6405913 |
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