ArticleeLife2019
The computation of directional selectivity in the
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Distribution and voltage dependence of ion channels shape single-neuron computations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Population morphology implies a common developmental blueprint for Drosophila motion detectors.PLoS computational biology · 2026Article
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- Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026Article
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- Understanding the mechanism of facilitation in hoverfly TSDNs.PLoS computational biology · 2025Article
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- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- A comprehensive neuroanatomical survey of thebioRxiv : the preprint server for biology · 2023Article
- Article
- Voltage to Calcium Transformation Enhances Direction Selectivity inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Article
- Excitatory and inhibitory neural dynamics jointly tune motion detection.Current biology : CB · 2022Article
- Populations of local direction-selective cells encode global motion patterns generated by self-motion.Science advances · 2022Article
- Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons.eLife · 2022Article
- Article
- Flexible filtering by neural inputs supports motion computation across states and stimuli.Current biology : CB · 2021Article
- Predicting individual neuron responses with anatomically constrained task optimization.Current biology : CB · 2021Article
- The physiological basis for contrast opponency in motion computation in Drosophila.Nature communications · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In flies, the direction of moving ON and OFF features is computed separately. T4 (ON) and T5 (OFF) are the first neurons in their respective pathways to extract a directionally selective response from their non-selective inputs. Our recent study of T4 found that the integration of offset depolarizing and hyperpolarizing inputs is critical for the generation of directional selectivity. However, T5s lack small-field inhibitory inputs, suggesting they may use a different mechanism. Here we used whole-cell recordings of T5 neurons and found a similar receptive field structure: fast depolarization and persistent, spatially offset hyperpolarization. By assaying pairwise interactions of local stimulation across the receptive field, we found no amplifying responses, only suppressive responses to the non-preferred motion direction. We then evaluated passive, biophysical models and found that a model using direct inhibition, but not the removal of excitation, can accurately predict T5 responses to a range of moving stimuli.
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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.