ArticlePLoS computational biology2009
Robust models for optic flow coding in natural scenes inspired by insect biology.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Article
- 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
- Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery.Sensors (Basel, Switzerland) · 2024Article
- A Computationally Efficient Neuronal Model for Collision Detection with Contrast Polarity-Specific Feed-Forward Inhibition.Biomimetics (Basel, Switzerland) · 2024Article
- Bioinspired figure-ground discrimination via visual motion smoothing.PLoS computational biology · 2023Article
- Article
- Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform.Biological cybernetics · 2022Article
- Contrast independent biologically inspired translational optic flow estimation.Biological cybernetics · 2022Article
- Dragonfly Neurons Selectively Attend to Targets Within Natural Scenes.Frontiers in cellular neuroscience · 2022Article
- Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision.Sensors (Basel, Switzerland) · 2021Article
- Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds.Biological cybernetics · 2020Article
- Seeing Natural Images through the Eye of a Fly with Remote Focusing Two-Photon Microscopy.iScience · 2020Article
- A minimal synaptic model for direction selective neurons in Drosophila.Journal of vision · 2020Article
- Opto-locomotor reflexes of mice to reverse-phi stimuli.Journal of vision · 2020Article
- Heterogeneous Temporal Contrast Adaptation in Drosophila Direction-Selective Circuits.Current biology : CB · 2020Article
- Learning from animals: How to Navigate Complex Terrains.PLoS computational biology · 2020Article
- Differential Tuning to Visual Motion Allows Robust Encoding of Optic Flow in the Dragonfly.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- A Hardware-Friendly Optical Flow-Based Time-to-Collision Estimation Algorithm.Sensors (Basel, Switzerland) · 2019Article
- Spatial Encoding of Translational Optic Flow in Planar Scenes by Elementary Motion Detector Arrays.Scientific reports · 2018Article
- Direct Measurement of Correlation Responses in Drosophila Elementary Motion Detectors Reveals Fast Timescale Tuning.Neuron · 2016Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The extraction of accurate self-motion information from the visual world is a difficult problem that has been solved very efficiently by biological organisms utilizing non-linear processing. Previous bio-inspired models for motion detection based on a correlation mechanism have been dogged by issues that arise from their sensitivity to undesired properties of the image, such as contrast, which vary widely between images. Here we present a model with multiple levels of non-linear dynamic adaptive components based directly on the known or suspected responses of neurons within the visual motion pathway of the fly brain. By testing the model under realistic high-dynamic range conditions we show that the addition of these elements makes the motion detection model robust across a large variety of images, velocities and accelerations. Furthermore the performance of the entire system is more than the incremental improvements offered by the individual components, indicating beneficial non-linear interactions between processing stages. The algorithms underlying the model can be implemented in either digital or analog hardware, including neuromorphic analog VLSI, but defy an analytical solution due to their dynamic non-linear operation. The successful application of this algorithm has applications in the development of miniature autonomous systems in defense and civilian roles, including robotics, miniature unmanned aerial vehicles and collision avoidance sensors.
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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.