42 citations · 104 across the 9 of their papers we have counts for
9 papers
Event-based Vision for Early Prediction of Manipulation Actions
Daniel Deniz, Cornelia Fermuller, Eduardo Ros +2
Neuromorphic visual sensors are artificial retinas that output sequences of asynchronous events when brightness changes occur in the scene. These sensors offer many advantages incl…
Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning
Daniel Deniz, Francisco Barranco, Juan Isern +1
Indoor monitoring of people at their homes has become a popular application in Smart Health. With the advances in Machine Learning and hardware for embedded devices, new distribute…
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…