Peter Hobden

About

Peter Hobden is a leading researcher in neuromorphic engineering and computational neuroscience, with a primary focus on modeling biological visual systems for hardware implementation. His work centers on the Lobula Giant Movement Detector (LGMD), a wide-field visual neuron in the locust nervous system that responds to looming stimuli—objects approaching on a collision course. Hobden’s key contributions include developing modified neural network models of the LGMD that enhance its ability to detect depth movement and velocity, bridging the gap between biological vision and artificial systems. His 2010 paper, "A modified model for the Lobula Giant Movement Detector and its FPGA implementation" (27 citations), and his 2009 work on depth movement features (18 citations) demonstrate his impact in creating efficient, real-time collision detection circuits. By translating the LGMD’s unique properties—such as its sensitivity to object proximity and approach speed—into FPGA-based implementations, Hobden has advanced applications in autonomous robotics, driver assistance systems, and bio-inspired sensing. His research not only deepens understanding of insect neurobiology but also provides practical solutions for rapid, low-power visual processing in artificial systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A modified model for the Lobula Giant Movement Detector and its FPGA implementation

   27 citations · 2010
2. 2
   A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature

   18 citations · 2009

Key Collaborators

Contact & Links