Literature DB >> 15795382

Visual working memory in decision making by honey bees.

Shaowu Zhang1, Fiola Bock, Aung Si, Juergen Tautz, Mandyam V Srinivasan.   

Abstract

The robustness and plasticity of working memory were investigated in honey bees by using a delayed matching-to-sample (DMTS) paradigm. The findings are summarized as follows: first, performance in the DMTS task decreases as the duration between the presentation of the sample stimulus and the presentation of the comparison stimuli is increased. This decrease is well approximated by an exponential decay function. Performance is significantly better than random-choice level even at delays as long as 5 sec and is reduced to random-choice levels at an average delay time of 8.68 +/- 0.06 sec. Second, when the DMTS task involves two samples (one relevant, the other irrelevant), bees can be trained to learn to use the relevant sample to perform the task if (i) the relevant sample is always at a fixed position, or (ii) the relevant sample always has the same place in the sequence of presentation (always first or always second). Bees that have learned to use the relevant sample and to ignore the irrelevant sample can generalize this learning, and apply it to novel sets of sample and comparison stimuli that they have never previously encountered. The findings point to a remarkably robust, and yet plastic, working memory in the honey bee.

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Year:  2005        PMID: 15795382      PMCID: PMC555688          DOI: 10.1073/pnas.0501440102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

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  31 in total

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Journal:  Curr Biol       Date:  2011-04-21       Impact factor: 10.834

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Authors:  Guy Beugnon; David Macquart
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3.  A model for the neuronal substrate of dead reckoning and memory in arthropods: a comparative computational and behavioral study.

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Review 5.  Attention-like processes in insects.

Authors:  Vivek Nityananda
Journal:  Proc Biol Sci       Date:  2016-11-16       Impact factor: 5.349

6.  A plausible neural circuit for decision making and its formation based on reinforcement learning.

Authors:  Hui Wei; Dawei Dai; Yijie Bu
Journal:  Cogn Neurodyn       Date:  2017-02-18       Impact factor: 5.082

7.  Ontogenetic shift in plant-related cognitive specialization by a mosquito-eating predator.

Authors:  Georgina E Carvell; Robert R Jackson; Fiona R Cross
Journal:  Behav Processes       Date:  2017-02-27       Impact factor: 1.777

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Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-02-26       Impact factor: 1.836

10.  Serial position learning in honeybees.

Authors:  Randolf Menzel
Journal:  PLoS One       Date:  2009-03-04       Impact factor: 3.240

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