ArticlePloS one2011
Relating neuronal to behavioral performance: variability of optomotor responses in the blowfly.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Impact of walking speed and motion adaptation on optokinetic nystagmus-like head movements in the blowfly Calliphora.Scientific reports · 2022Article
- Associations between longitudinal serum perfluoroalkyl substance (PFAS) levels and measures of thyroid hormone, kidney function, and body mass index in the Fernald Community Cohort.Environmental pollution (Barking, Essex : 1987) · 2018Article
- Optogenetic control of fly optomotor responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Variability of human corticospinal excitability tracks the state of action preparation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Behavioral responses of an animal vary even when they are elicited by the same stimulus. This variability is due to stochastic processes within the nervous system and to the changing internal states of the animal. To what extent does the variability of neuronal responses account for the overall variability at the behavioral level? To address this question we evaluate the neuronal variability at the output stage of the blowfly's (Calliphora vicina) visual system by recording from motion-sensitive interneurons mediating head optomotor responses. By means of a simple modelling approach representing the sensory-motor transformation, we predict head movements on the basis of the recorded responses of motion-sensitive neurons and compare the variability of the predicted head movements with that of the observed ones. Large gain changes of optomotor head movements have previously been shown to go along with changes in the animals' activity state. Our modelling approach substantiates that these gain changes are imposed downstream of the motion-sensitive neurons of the visual system. Moreover, since predicted head movements are clearly more reliable than those actually observed, we conclude that substantial variability is introduced downstream of the visual system.
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Registered trials
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