[HTML][HTML] A Looming Spatial Localization Neural Network Inspired by MLG1 Neurons in the Crab Neohelice
Similar to most visual animals, the crab Neohelice granulata relies predominantly on visual
information to escape from predators, to track prey and for selecting mates. It, therefore …
information to escape from predators, to track prey and for selecting mates. It, therefore …
Characterization and modelling of looming-sensitive neurons in the crab Neohelice
Looming-sensitive neurons (LSNs) are motion-sensitive neurons tuned for detecting
imminent collision. Their main characteristic is the selectivity to looming (a 2D representation …
imminent collision. Their main characteristic is the selectivity to looming (a 2D representation …
Computation of object approach by a system of visual motion-sensitive neurons in the crab Neohelice
D Oliva, D Tomsic - Journal of neurophysiology, 2014 - journals.physiology.org
Similar to most visual animals, crabs perform proper avoidance responses to objects directly
approaching them. The monostratified lobula giant neurons of type 1 (MLG1) of crabs …
approaching them. The monostratified lobula giant neurons of type 1 (MLG1) of crabs …
Object approach computation by a giant neuron and its relationship with the speed of escape in the crab Neohelice
D Oliva, D Tomsic - Journal of Experimental Biology, 2016 - journals.biologists.com
Upon detection of an approaching object, the crab Neohelice granulata continuously
regulates the direction and speed of escape according to ongoing visual information. These …
regulates the direction and speed of escape according to ongoing visual information. These …
Shaping the collision selectivity in a looming sensitive neuron model with parallel on and off pathways and spike frequency adaptation
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an
open challenge. This paper presents a novel neuron model of a locust looming detector, ie …
open challenge. This paper presents a novel neuron model of a locust looming detector, ie …
A network of visual motion-sensitive neurons for computing object position in an arthropod
Highly active insects and crabs depend on visual motion information for detecting and
tracking mates, prey, or predators, for which they require directional control systems …
tracking mates, prey, or predators, for which they require directional control systems …
Enhancing LGMD's looming selectivity for UAV with spatial–temporal distributed presynaptic connections
Collision detection is one of the most challenging tasks for unmanned aerial vehicles
(UAVs). This is especially true for small or micro-UAVs due to their limited computational …
(UAVs). This is especially true for small or micro-UAVs due to their limited computational …
Shaping the ultra-selectivity of a looming detection neural network from non-linear correlation of radial motion
In this paper, a numerical neural network inspired by the lobula plate/lobula columnar type II
(LPLC2), the ultra-selective looming sensitive neurons identified within visual system of …
(LPLC2), the ultra-selective looming sensitive neurons identified within visual system of …
Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
Animals have evolved sophisticated visual circuits to solve a vital inference problem:
detecting whether or not a visual signal corresponds to an object on a collision course. Such …
detecting whether or not a visual signal corresponds to an object on a collision course. Such …
A neural model of the locust visual system for detection of object approaches with real-world scenes
MS Keil, E Roca-Moreno… - arXiv preprint arXiv …, 2018 - arxiv.org
In the central nervous systems of animals like pigeons and locusts, neurons were identified
which signal objects approaching the animal on a direct collision course. Unraveling the …
which signal objects approaching the animal on a direct collision course. Unraveling the …