Guixiang Wang

About

Dr. Guixiang Wang is a pioneering researcher at the intersection of neuroscience and autonomous systems, specializing in brain-inspired decision-making and bio-inspired visual perception. His most influential work, "A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations" (2017, 38 citations), introduces a groundbreaking computational framework that mimics the neural circuitry of the prefrontal cortex and basal ganglia to enable adaptive, goal-directed choices in unmanned aerial vehicles. This model bridges cognitive neuroscience and robotics, offering a novel approach to real-time decision-making under uncertainty. Dr. Wang further advances the field with "Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway" (2016, 9 citations), which replicates the hierarchical processing of the primate visual system to enhance obstacle avoidance in autonomous platforms. His work has significant implications for developing more resilient, human-like AI in drones and mobile robots, demonstrating how biological principles can solve engineering challenges. With these contributions, Dr. Wang is shaping the future of neuromorphic robotics, inspiring students and researchers to explore the synergy between brain function and artificial intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations

   38 citations · 2017
2. 2
   Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway

   9 citations · 2016

Key Collaborators

Contact & Links