Zlatko Vasilkoski

Papers

Total Citations

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About

Zlatko Vasilkoski is a researcher at the intersection of neural computation, neuromorphic engineering, and adaptive robotics. His work focuses on understanding how neural plasticity rules can be implemented on emerging hardware platforms, particularly memristive devices, to create large-scale, adaptive neural systems. His most cited paper, a comprehensive review of stability properties of neural plasticity rules for memristive neuromorphic hardware (14 citations), provides a critical foundation for designing robust learning algorithms that can operate on non-volatile memory technologies. This work is essential for bridging the gap between theoretical neuroscience and practical hardware implementation. Vasilkoski also contributed to the development of the Visually-Guided Adaptive Robot (ViGuAR), a neural modeling platform created under the DARPA SyNAPSE program. This platform demonstrates how bio-inspired visual processing and adaptive control can be integrated into robotic systems capable of complex behaviors. Though his citation counts are modest, his contributions are strategically important for the future of neuromorphic computing, where energy-efficient, brain-inspired hardware will enable autonomous agents to learn and adapt in real-time. His research continues to influence the design of scalable neural architectures for robotics and AI.