Rima Boudjadja
Papers
1
Total Citations
6
H-Index
1
About
Rima Boudjadja is a researcher at the intersection of computational neuroscience and robotics, specializing in bio-inspired navigation systems. Her work focuses on developing spiking neural networks (SNNs) that mimic the brain’s spatial processing mechanisms, particularly through models of O’Keefe place cells and spike-timing-dependent plasticity (STDP). Her most cited paper, “Spike-Time Dependant Plasticity in a Spiking Neural Network for Robot Path Planning” (2015), introduces a novel path planning technique for autonomous mobile robots. By representing the environment as a cognitive map and leveraging the concept of traveling waves in SNNs, Boudjadja’s approach enables robots to learn and navigate efficiently without explicit programming. This work, with 6 citations, demonstrates her ability to bridge theoretical neuroscience with practical robotics, offering a biologically plausible alternative to traditional path planning algorithms. Her contributions are particularly notable for integrating STDP—a key mechanism for synaptic learning—into real-world robotic applications, paving the way for more adaptive and intelligent autonomous systems. Boudjadja’s research continues to inspire advances in neuromorphic computing and embodied cognition, making her a rising voice in the field of neurorobotics.
Research Focus
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Top Papers
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