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Induction of aversive learning through thermogenetic activation of Kenyon cell ensembles in Drosophila

Overview of attention for article published in Frontiers in Behavioral Neuroscience, May 2014
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Title
Induction of aversive learning through thermogenetic activation of Kenyon cell ensembles in Drosophila
Published in
Frontiers in Behavioral Neuroscience, May 2014
DOI 10.3389/fnbeh.2014.00174
Pubmed ID
Authors

David Vasmer, Atefeh Pooryasin, Thomas Riemensperger, André Fiala

Abstract

Drosophila represents a model organism to analyze neuronal mechanisms underlying learning and memory. Kenyon cells of the Drosophila mushroom body are required for associative odor learning and memory retrieval. But is the mushroom body sufficient to acquire and retrieve an associative memory? To answer this question we have conceived an experimental approach to bypass olfactory sensory input and to thermogenetically activate sparse and random ensembles of Kenyon cells directly. We found that if the artifical activation of Kenyon cell ensembles coincides with a salient, aversive stimulus learning was induced. The animals adjusted their behavior in a subsequent test situation and actively avoided reactivation of these Kenyon cells. Our results show that Kenyon cell activity in coincidence with a salient aversive stimulus can suffice to form an associative memory. Memory retrieval is characterized by a closed feedback loop between a behavioral action and the reactivation of sparse ensembles of Kenyon cells.

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Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Germany 1 <1%
Korea, Republic of 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 22 19%
Student > Master 15 13%
Student > Bachelor 11 10%
Student > Doctoral Student 7 6%
Other 13 11%
Unknown 18 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 35%
Neuroscience 32 28%
Biochemistry, Genetics and Molecular Biology 8 7%
Unspecified 4 4%
Physics and Astronomy 2 2%
Other 9 8%
Unknown 19 17%