Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion
Author:
Affiliation:
1. School of Computer Science, University of Lincoln,Lincoln,UK
2. School of Mathematics and Information Science, Guangzhou University,Guangzhou,China
3. School of Computer Science, Tianjin University of Technology,Tianjin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892408.pdf?arnumber=9892408
Reference31 articles.
1. A look into the cockpit of the developing locust: Looming detectors and predator avoidance
2. Enhancing LGMD's Looming Selectivity for UAV With Spatial-Temporal Distributed Presynaptic Connections
3. Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
4. Collision Avoidance: Broadening the Toolkit for Directionally Selective Motion Computations
5. Neural network based on the input organization of an identified neuron signaling impending collision
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