Patrick Maier

Technical University of Munich, University of Stirling

Papers

3

Total Citations

128

H-Index

2

About

Patrick Maier is a pioneering researcher at the intersection of computational neuroscience, neurorobotics, and neuromorphic engineering. His work focuses on bridging the gap between biologically realistic brain models and physical robotic systems, with a particular emphasis on spiking neural networks (SNNs) and real-time vision processing. Maier’s major contributions include co-developing the Neurorobotics Platform, a comprehensive simulation framework that connects artificial brain models to robots in dynamic sensory environments—a tool that has garnered 117 citations and become a cornerstone for validating neural models through embodiment. He also demonstrated a visual tracking model on the iCub humanoid robot, showcasing a novel neurorobotic toolkit that integrates brain and physics simulation, advancing neuro-inspired computing paradigms. Most recently, Maier has pushed the boundaries of embedded systems with an FPGA-based neuromorphic vision accelerator, targeting ultra-fast, resource-limited applications. His work not only deepens our understanding of biological nervous systems but also drives practical innovations in artificial systems, making him a key figure in the quest for real-time, brain-inspired computing.

Research Focus

Key Achievements

2
H-Index
3
Papers
128
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform
117 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Technical University of Munich, University of Stirling

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago