Selected Publications

A cerebellar-based solution to the nondeterministic time delay problem in robotic control

Project Journal

On robot compliance. A cerebellar control approach.

Preprint Project Project Journal

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

PDF Journal

VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model

Preprint Journal

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

Preprint PDF Journal

Contour Detection and Characterization for Asynchronous Event Sensors

Conference

Recent & Upcoming Talks

Brain Body 2018
Mar 9, 2018 5:30 PM

Recent News & Posts

More Posts

The Applied Computational Neuroscience Group is looking for talented and motivated professionals to strengthen the recently created Laboratory in Virtual Reality for Remote Handling at the University of Granada (Spain). This lab currently includes 6 multidisciplinary professionals (including graduate students and faculty members) and aims to develop ground-breaking control systems based on virtual reality technologies. Two additional positions are expected to be filled in the next months. Research topic Remote handling (RH) technologies represent a critical piece for environments where human intervention is not possible.

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Projects

Human Brain Project

The HBP is a European flagship initiative aiming to build a research infrastructure to help advance neuroscience, medicine and computing based on brain computational modelling. Our group is included as part of the Neurorobotics Subproject (SP10).

CEREBROT: Adaptive Cerebellum for Sensori-Motor Integration and its Application in Robotics

The CEREBROT project is a national Spanish project founded by the Ministry of Economy. This project address the development of a system for information processing and efficient representation based on the cerebellum, and its potential application to robotics.

CEREBSENSING: Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control

CEREBSENSING is a H2020 Marie Sklodowska-Curie Action (IF) aiming to understand how the cerebellum processes sensorial information coming from the cerebral cortex by using computational models embedded in realistic perception-action simulations.

REALNET: Realistic Real-Time Networks: Computation Dynamics in the Cerebellum

The REALNET project is a FET Proactive initiative aiming to build the first realistic cerebellar model that can run in real-time and be used for controlling robotic systems. Our group develops the software simulation tool (EDLUT) and the simplified (spiking point neurons) model of the cerebellum.

Researchers

Research Team

Eduardo Ros

Full Professor

Richard R. Carrillo

Senior researcher

Jesús Garrido

Associate Professor

Niceto Luque

Associate Professor

Francisco Barranco

Associate Professor

Francisco Naveros

Postdoctoral researcher

Milagros Marín

PhD student

Álvaro González

PhD student

Ignacio Abadía

PhD Student

Contact

  • CITIC-UGR. Calle Periodista Rafael Gómez Montero 2, 18071, Granada (Spain)