20 citations · 27 across the 11 of their papers we have counts for
3 papers · 1 filter
Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning
Omar Zahra, David Navarro-Alarcon, Silvia Tolu
The cerebellum plays a distinctive role within our motor control system to achieve fine and coordinated motions. While cerebellar lesions do not lead to a complete loss of motor fu…
Differential Mapping Spiking Neural Network for Sensor-Based Robot Control
Omar Zahra, Silvia Tolu, David Navarro-Alarcon
In this work, a spiking neural network (SNN) is proposed for approximating differential sensorimotor maps of robotic systems. The computed model is used as a local Jacobian-like pr…
Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning
T. P. Jensen, S. Tata, A. J. Ijspeert +1
Human beings and other vertebrates show remarkable performance and efficiency in locomotion, but the functioning of their biological control systems for locomotion is still only pa…