ArticleBehavioural processes2013
Modeling novelty habituation during exploratory activity in Drosophila.
Article in Behavioural processes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- opynfield: An Open-Source Python Package for the Analysis of Open Field Exploration Data.Neuroinformatics · 2025Article
- Locomotor Response to Novelty: What Does It Tell Us?Developmental psychobiology · 2025Article
- Article
- A network-based analysis detects cocaine-induced changes in social interactions in Drosophila melanogaster.PloS one · 2023Article
- Aging mechanisms-A perspective mostly fromAdvanced genetics (Hoboken, N.J.) · 2020Article
- Longitudinal Characterization and Biomarkers of Age and Sex Differences in the Decline of Spatial Memory.Frontiers in aging neuroscience · 2020Article
- Wnd/DLK Is a Critical Target of FMRP Responsible for Neurodevelopmental and Behavior Defects in the Drosophila Model of Fragile X Syndrome.Cell reports · 2019Article
- Temporally specific engagement of distinct neuronal circuits regulating olfactory habituation ineLife · 2018Article
- Speed dependent descending control of freezing behavior in Drosophila melanogaster.Nature communications · 2018Article
- Host shift induces changes in mate choice of the seed predator Acanthoscelides obtectus via altered chemical signalling.PloS one · 2018Article
- Article
- Neurofibromin Loss of Function Drives Excessive Grooming in Drosophila.G3 (Bethesda, Md.) · 2016Article
- Nutrient variation shapes survival without altering activity or social interaction networks in a sawfly.Behavioral ecology : official journal of the International Society for Behavioral EcologyArticle
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4 authors at 1 institution in 1 country.
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Abstract
Habituation is a common form of non-associative learning in which the organism gradually decreases its response to repeated stimuli. The decrease in exploratory activity of many animal species during exposure to a novel open field arena is a widely studied habituation paradigm. However, a theoretical framework to quantify how the novelty of the arena is learned during habituation is currently missing. Drosophila melanogaster display a high mean absolute activity and a high probability for directional persistence when first introduced to a novel arena. Both measures decrease during habituation to the arena. Here, we propose a phenomenological model of habituation for Drosophila exploration based on two principles: Drosophila form a spatial representation of the arena edge as a set of connected local patches, and repeated exposure to these patches is essential for the habituation of the novelty. The level of exposure depends on the number of visitations and is quantified by a variable referred to as "coverage". This model was tested by comparing predictions against the experimentally measured behavior of wild type Drosophila. The novelty habituation of wild type Canton-S depends on coverage and is specifically independent of the arena radius. Our model describes the time dependent locomotor activity, ΔD, of Canton-S using an experimentally established stochastic process Pn(ΔD), which depends on the coverage. The quantitative measures of exploration and habituation were further applied to three mutant genotypes. Consistent with a requirement for vision in novelty habituation, blind no receptor potential A(7) mutants display a failure in the decay of probability for directional persistence and mean absolute activity. The rutabaga(2080) habituation mutant also shows defects in these measures. The kurtz(1) non-visual arrestin mutant demonstrates a rapid decay in these measures, implying reduced motivation. The model and the habituation measures offer a powerful framework for understanding mechanisms associated with open field habituation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.