ArticlePloS one2011
Pattern-dependent response modulations in motion-sensitive visual interneurons--a model study.
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 19 papers.
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Who cites it
19 citing papers in PubMed.
- A control engineering perspective on the advantages of efference copies.Biological cybernetics · 2025Article
- Path integration and optic flow in flying insects: a review of current evidence.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025Review
- Optic flow based spatial vision in insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- Disentangling of Local and Wide-Field Motion Adaptation.Frontiers in neural circuits · 2021Article
- Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR.PloS one · 2020Article
- Peripheral Processing Facilitates Optic Flow-Based Depth Perception.Frontiers in computational neuroscience · 2016Article
- A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes.PLoS computational biology · 2015Article
- Encoding of yaw in the presence of distractor motion: studies in a fly motion sensitive neuron.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Influence of environmental information in natural scenes and the effects of motion adaptation on a fly motion-sensitive neuron during simulated flight.Biology open · 2014Article
- Motion as a source of environmental information: a fresh view on biological motion computation by insect brains.Frontiers in neural circuits · 2014Review
- Texture-defined objects influence responses of blowfly motion-sensitive neurons under natural dynamical conditions.Frontiers in integrative neuroscience · 2014Article
- Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis.Frontiers in computational neuroscience · 2014Article
- Temporal statistics of natural image sequences generated by movements with insect flight characteristics.PloS one · 2014Article
- Neuronal encoding of object and distance information: a model simulation study on naturalistic optic flow processing.Frontiers in neural circuits · 2012Article
- Texture dependence of motion sensing and free flight behavior in blowflies.Frontiers in behavioral neuroscience · 2012Article
- Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action.Frontiers in neural circuits · 2012Article
- Facilitation of dragonfly target-detecting neurons by slow moving features on continuous paths.Frontiers in neural circuits · 2012Article
- Enhancement of prominent texture cues in fly optic flow processing.Frontiers in neural circuits · 2012Article
- Temporal and spatial adaptation of transient responses to local features.Frontiers in neural circuits · 2012Article
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3 authors.
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Abstract
Even if a stimulus pattern moves at a constant velocity across the receptive field of motion-sensitive neurons, such as lobula plate tangential cells (LPTCs) of flies, the response amplitude modulates over time. The amplitude of these response modulations is related to local pattern properties of the moving retinal image. On the one hand, pattern-dependent response modulations have previously been interpreted as 'pattern-noise', because they deteriorate the neuron's ability to provide unambiguous velocity information. On the other hand, these modulations might also provide the system with valuable information about the textural properties of the environment. We analyzed the influence of the size and shape of receptive fields by simulations of four versions of LPTC models consisting of arrays of elementary motion detectors of the correlation type (EMDs). These models have previously been suggested to account for many aspects of LPTC response properties. Pattern-dependent response modulations decrease with an increasing number of EMDs included in the receptive field of the LPTC models, since spatial changes within the visual field are smoothed out by the summation of spatially displaced EMD responses. This effect depends on the shape of the receptive field, being the more pronounced--for a given total size--the more elongated the receptive field is along the direction of motion. Large elongated receptive fields improve the quality of velocity signals. However, if motion signals need to be localized the velocity coding is only poor but the signal provides--potentially useful--local pattern information. These modelling results suggest that motion vision by correlation type movement detectors is subject to uncertainty: you cannot obtain both an unambiguous and a localized velocity signal from the output of a single cell. Hence, the size and shape of receptive fields of motion sensitive neurons should be matched to their potential computational task.
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