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A Normative Theory of Forgetting: Lessons from the Fruit Fly

Overview of attention for article published in PLoS Computational Biology, June 2014
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Title
A Normative Theory of Forgetting: Lessons from the Fruit Fly
Published in
PLoS Computational Biology, June 2014
DOI 10.1371/journal.pcbi.1003640
Pubmed ID
Authors

Johanni Brea, Robert Urbanczik, Walter Senn

Abstract

Recent experiments revealed that the fruit fly Drosophila melanogaster has a dedicated mechanism for forgetting: blocking the G-protein Rac leads to slower and activating Rac to faster forgetting. This active form of forgetting lacks a satisfactory functional explanation. We investigated optimal decision making for an agent adapting to a stochastic environment where a stimulus may switch between being indicative of reward or punishment. Like Drosophila, an optimal agent shows forgetting with a rate that is linked to the time scale of changes in the environment. Moreover, to reduce the odds of missing future reward, an optimal agent may trade the risk of immediate pain for information gain and thus forget faster after aversive conditioning. A simple neuronal network reproduces these features. Our theory shows that forgetting in Drosophila appears as an optimal adaptive behavior in a changing environment. This is in line with the view that forgetting is adaptive rather than a consequence of limitations of the memory system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 1%
Hungary 1 1%
United Kingdom 1 1%
Switzerland 1 1%
Unknown 92 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Researcher 17 17%
Student > Bachelor 12 12%
Professor 9 9%
Student > Master 9 9%
Other 17 17%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 23%
Neuroscience 22 22%
Psychology 10 10%
Biochemistry, Genetics and Molecular Biology 7 7%
Engineering 6 6%
Other 15 15%
Unknown 15 15%