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About

David Gamez is a leading researcher at the intersection of artificial intelligence, computational neuroscience, and consciousness studies. His primary contributions lie in developing biologically plausible, real-time spiking neural network systems that bridge the gap between neural simulation and embodied robotic control. Gamez’s most influential work includes the NeuroBot system (44 citations), which uses a global workspace architecture implemented in spiking neurons to control an avatar in Unreal Tournament 2004, exhibiting humanlike behavior. He also created iSpike (37 citations), a C++ library that interfaces spiking neural network simulators with the iCub humanoid robot, converting sensory data into biologically inspired spike trains. His research on information integration theory (41 citations) explores predictions about conscious states in spiking networks, contributing to the scientific study of consciousness. Gamez has also developed key simulation tools, including SpikeStream and GPU-accelerated platforms for real-time embodied neural simulations. His work is notable for its practical integration of theoretical neuroscience with robotics and gaming environments, offering a unique platform for testing models of cognition and consciousness in action.