Edgars Lazdins

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About

Edgars Lazdins is a researcher at the forefront of neuromorphic robotics, specializing in the real-time simulation of embodied spiking neural networks (SNNs). His work bridges the gap between biological neural computation and physical robotic systems, with a particular focus on the iCub humanoid robot platform. Lazdins’s most significant contribution is the development of **iSpike**, a C++ library that serves as a spiking neural interface for the iCub robot. This tool translates sensory data from the robot into biologically realistic spike trains, processes them through SNN simulators, and decodes the output spikes into motor commands—enabling closed-loop, brain-inspired control. With 37 citations, iSpike remains a foundational resource for researchers exploring neuromorphic control in humanoid robotics. Lazdins also co-authored work on **GPU-accelerated tools** for real-time SNN simulation, addressing the computational challenges of running large-scale neural models on physical robots. His contributions are pivotal for advancing embodied AI, where neural networks interact dynamically with the environment. By providing open-source tools like iSpike, Lazdins has empowered a generation of researchers to experiment with spiking neural networks in real-world robotic applications, pushing the boundaries of bio-inspired intelligence.