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About

Andreas Fidjeland is a researcher at the intersection of computational neuroscience, robotics, and artificial intelligence, whose work focuses on creating biologically plausible, spiking neural network systems for embodied, real-time control. His major contributions center on bridging the gap between neural simulation and physical action, most notably through the development of the NeuroBot system, which uses a global workspace architecture implemented in spiking neurons to control an avatar in the Unreal Tournament 2004 game, demonstrating humanlike behavior (44 citations). Complementing this, Fidjeland created iSpike, a C++ library that serves as a biologically inspired neural interface for the iCub humanoid robot, converting sensory data into spikes and decoding motor commands (37 citations). His work also extends to high-performance computing with Archlog, a framework for synthesizing reconfigurable multiprocessors for logic programming, and tools for real-time GPU-based simulation of embodied spiking networks. By enabling complex, neurally-driven control in both virtual and robotic environments, Fidjeland’s research provides foundational tools and architectures for advancing autonomous, brain-inspired agents.