7 citations · 7 across the 2 of their papers we have counts for
5 papers
VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
Francisco Naveros, Niceto R. Luque, Eduardo Ros +1
We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) when performing different vestibulo-ocular ref…
On robot compliance. A cerebellar control approach
Ignacio Abadia, Francisco Naveros, Jesus A. Garrido +2
The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feed…
Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Sergio E. Galindo, Pablo Toharia, Oscar D. Robles +3
Computational modeling is becoming a widely used methodology in modern neuroscience. However, as the complexity of the phenomena under study increases, the analysis of the results…
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Richard R Carrillo, Francisco Naveros, Eduardo Ros +1
Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with attention being paid to the cerebellar granular layer. The focus of this…
Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study
Francisco Naveros, Jesus A. Garrido, Angelo Arleo +2
Studying and understanding the computational primitives of our neural system requires for a diverse and complementary set of techniques. In this work, we use the Neuro-robotic Plat…