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SpikeControl SIGNED

Cerebellar Spiking Model For Real-time Closed-loop Sensorimotor Control

Total Cost €


EC-Contrib. €






Project "SpikeControl" data sheet

The following table provides information about the project.


There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country France [FR]
 Project website
 Total cost 173˙076 €
 EC max contribution 173˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SORBONNE UNIVERSITE FR (PARIS) coordinator 173˙076.00


 Project objective

Understanding how the brain processes and represents information is at the core of experimental studies of the Central Nervous System (CNS). A network of brain subsystems mediates information processing through distributed neural computation and dynamic patterns of neural activity. Over the last decades, studying how these patterns are elicited in the CNS under specific behavioural tasks has become a break through research topic in integrative neuroscience. These specific tasks are related to the concept of embodied cognition, according to which the primary goal of the CNS is to solve and facilitate the body-environment interaction. This project focuses on the cerebellum, a brain region that plays a crucial role in body-environment interaction, with a primary function related to adaptive motor control and coordination. The functional characteristics of the cerebellum make it a perfect candidate to start modelling and building an embodied nervous system. The cerebellar capability of performing adaptive information processing mediating sensorimotor control will be evaluated in specific tasks. Additionally, the emergence of cognitive-like representations will be studied by focusing on how models of the environment/tools can be acquired through a closed-loop sensorimotor interaction. This project sets forth a multidisciplinary methodology combining neuromimetic models and embodied neurorobotics. Simulated neural models and robotic experiments will guarantee full access to the system properties, which will be assessed through both qualitative and quantitative performance indicators to facilitate a constructive cross-validation against neurophysiological data. This approach will also allow us to predict new functional roles of specific cell/network/topology properties. The goal of this project lies on moving forward the knowledge frontiers in integrative neuroscience and biological control, thus boosting the candidate position at the cutting-edge of these fields.


year authors and title journal last update
List of publications.
2016 Niceto R. Luque, Jes?s A. Garrido, Francisco Naveros, Richard R. Carrillo, Egidio D\'Angelo, Eduardo Ros
Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
published pages: , ISSN: 1662-5188, DOI: 10.3389/fncom.2016.00017
Frontiers in Computational Neuroscience 10 2019-06-14
2016 Egidio D’Angelo, Lisa Mapelli, Claudia Casellato, Jesus A. Garrido, Niceto Luque, Jessica Monaco, Francesca Prestori, Alessandra Pedrocchi, Eduardo Ros
Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning
published pages: 139-151, ISSN: 1473-4222, DOI: 10.1007/s12311-015-0711-7
The Cerebellum 15/2 2019-06-14
2016 Egidio D?Angelo, Alberto Antonietti, Stefano Casali, Claudia Casellato, Jesus A. Garrido, Niceto Rafael Luque, Lisa Mapelli, Stefano Masoli, Alessandra Pedrocchi, Francesca Prestori, Martina Francesca Rizza, Eduardo Ros
Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue
published pages: , ISSN: 1662-5102, DOI: 10.3389/fncel.2016.00176
Frontiers in Cellular Neuroscience 10 2019-06-14
2017 Francisco Naveros, Jesus A. Garrido, Richard R. Carrillo, Eduardo Ros, Niceto R. Luque
Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
published pages: , ISSN: 1662-5196, DOI: 10.3389/fninf.2017.00007
Frontiers in Neuroinformatics 11 2019-06-14
2016 Jes?s A. Garrido, Niceto R. Luque, Silvia Tolu, Egidio D?Angelo
Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
published pages: 1650020, ISSN: 0129-0657, DOI: 10.1142/S0129065716500209
International Journal of Neural Systems 26/05 2019-06-14

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The information about "SPIKECONTROL" are provided by the European Opendata Portal: CORDIS opendata.

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