4 papers
A Bio-Plausible Visual Neural Network for Locust-Inspired Collision Perception
Qinbing Fu, Jiani Li, Jiajun Huang +1
Locust visual systems have long served as an important biological paradigm for studying looming perception and collision avoidance. Numerous computational models have successfully…
An Event-Driven Framework for Fly-Inspired Visual Motion Detection
Qinbing Fu, Jingyu Huang, Yan Xie +2
Fast and reliable motion detection is essential for machine vision and autonomous systems operating in dynamic environments. This work integrates emerging event-based sensing with…
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
Ziyan Qin, Qinbing Fu, Jigen Peng +1
Amari's Dynamic Neural Field (DNF) framework provides a brain-inspired approach to modeling the average activation of neuronal groups. Leveraging a single field, DNF has become a p…
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
Ziyan Qin, Jigen Peng, Shigang Yue +1
Compared to human vision, locust visual systems excel at rapid and precise collision detection, despite relying on only hundreds of thousands of neurons organized through a few neu…