Parameter optimization and learning in a spiking neural network for UAV obstacle avoidance targeting neuromorphic processors

L Salt, D Howard, G Indiveri… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The Lobula giant movement detector (LGMD) is an identified neuron of the locust that
detects looming objects and triggers the insect's escape responses. Understanding the …

Obstacle avoidance with LGMD neuron: towards a neuromorphic UAV implementation

L Salt, G Indiveri… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
We present a neuromorphic adaptation of a spiking neural network model of the locust
Lobula Giant Movement Detector (LGMD), which detects objects increasing in size in the …

SLoN: a spiking looming perception network exploiting neural encoding and processing in ON/OFF channels

Z Dai, Q Fu, J Peng, H Li - Frontiers in Neuroscience, 2024 - frontiersin.org
Looming perception, the ability to sense approaching objects, is crucial for the survival of
humans and animals. After hundreds of millions of years of evolutionary development …

Differential evolution and bayesian optimisation for hyper-parameter selection in mixed-signal neuromorphic circuits applied to UAV obstacle avoidance

L Salt, D Howard, G Indiveri… - arXiv preprint arXiv …, 2017 - arxiv.org
The Lobula Giant Movement Detector (LGMD) is a an identified neuron of the locust that
detects looming objects and triggers its escape responses. Understanding the neural …

[引用][C] Self-adaptive differential evolution for bio-inspired neuromorphic collision avoidance

L Salt, D Howard - CoRR, 2017