Lukasz Wiklendt
Papers
1
Total Citations
8
H-Index
1
About
Lukasz Wiklendt is a researcher whose work bridges computational neuroscience, robotics, and neural simulation. His primary research areas include spiking neural networks, bipedal locomotion control, and biologically inspired robotics. Wiklendt made a notable early contribution with his 2009 paper "Simulated 3D biped walking with an evolution-strategy tuned spiking neural network," which has garnered 8 citations. In this work, he pioneered the application of spiking neural networks to control simulated biped robots, developing a neural model that allowed for an analytic solution to a neuron's fire time while preserving non-instant post-synaptic potentiation. This approach demonstrated how evolutionary strategies could tune neural parameters to achieve stable bipedal walking in three-dimensional simulations. Wiklendt's research has been significant in advancing the integration of realistic neural dynamics with robotic control systems, offering insights into how biological neural computation principles can be applied to engineering challenges. His work continues to influence researchers exploring neuromorphic control systems and the intersection of computational neuroscience with robotics.
Research Focus
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Top Papers
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