ArticleJournal of vision2020
A minimal synaptic model for direction selective neurons in Drosophila.
Article in Journal of vision, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Dynamic trajectory cues drive sequenced integration in approach detectors.bioRxiv : the preprint server for biology · 2026Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.Nature human behaviour · 2026Article
- Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026Article
- Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Bio-Inspired Visual Neural Model for Robustly and Steadily Detecting Motion Directions of Translating Objects Against Variable Contrast in the Figure-Ground and Noise Interference.Biomimetics (Basel, Switzerland) · 2025Article
- TDE-3: an improved prior for optical flow computation in spiking neural networks.Frontiers in neuroscience · 2025Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.bioRxiv : the preprint server for biology · 2024Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024Article
- Multilevel visual motion opponency in Drosophila.Nature neuroscience · 2023Article
- Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.bioRxiv : the preprint server for biology · 2023Article
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- Optic flow based spatial vision in insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.Advances in neural information processing systems · 2023Article
- Excitatory and inhibitory neural dynamics jointly tune motion detection.Current biology : CB · 2022Article
- Article
- Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons.eLife · 2022Article
- Predicting individual neuron responses with anatomically constrained task optimization.Current biology : CB · 2021Article
- Predictive encoding of motion begins in the primate retina.Nature neuroscience · 2021Article
- The physiological basis for contrast opponency in motion computation in Drosophila.Nature communications · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
Visual motion estimation is a canonical neural computation. In Drosophila, recent advances have identified anatomic and functional circuitry underlying direction-selective computations. Models with varying levels of abstraction have been proposed to explain specific experimental results but have rarely been compared across experiments. Here we use the wealth of available anatomical and physiological data to construct a minimal, biophysically inspired synaptic model for Drosophila's first-order direction-selective T4 cells. We show how this model relates mathematically to classical models of motion detection, including the Hassenstein-Reichardt correlator model. We used numerical simulation to test how well this synaptic model could reproduce measurements of T4 cells across many datasets and stimulus modalities. These comparisons include responses to sinusoid gratings, to apparent motion stimuli, to stochastic stimuli, and to natural scenes. Without fine-tuning this model, it sufficed to reproduce many, but not all, response properties of T4 cells. Since this model is flexible and based on straightforward biophysical properties, it provides an extensible framework for developing a mechanistic understanding of T4 neural response properties. Moreover, it can be used to assess the sufficiency of simple biophysical mechanisms to describe features of the direction-selective computation and identify where our understanding must be improved.
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