Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control

Información del proyecto

CEREBSENSING

Identificador del acuerdo de subvención: 653019

DOI

10.3030/653019

Proyecto cerrado

Fecha de la firma de la CE 12 Marzo 2015

Fecha de inicio 1 Noviembre 2015

Fecha de finalización 22 Enero 2018

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 158 121,60

Aportación de la UE

€ 158 121,60

Coordinado por

UNIVERSIDAD DE GRANADA
Spain

Objetivo

The ability to perceive and understand the state of the surrounding environment and the own state is critical for next generation robotic systems. To that aim, the human brain is still far beyond current artificial systems performance due to its capability of processing huge amounts of heterogeneous sensorial data. Interestingly, the cerebellum has been shown to play a crucial role in the generation of dexterous movements as evidenced from cerebellar ataxic patients. Behavioural studies suggest that the cerebellum actively improves sensorial discrimination and proprioception thanks to the prediction of the sensorial consequences of actions. In the last decade, several forms of long-term synaptic plasticity have been observed within the cerebellum, suggesting that distributed plasticity could support the predictive action. However the way in which those mechanisms cooperate in order to improve the function of the whole cerebellar network is not completely understood. In this project, the candidate will develop a novel theory of sensorial information representation and processing based on the cerebellar architecture. The proposed model will make use of long-term synaptic plasticity mechanisms distributed along connections existing in the cerebellar input layer (granular layer) to iteratively create sparse representations of the information, allowing fast and effective learning in successive layers. The predictions extracted from this model will be useful to design new experimental protocols to unveil the cerebellar role in acting and sensing.
By providing multiple relevant contributions across the spectrum of the H2020 objectives in terms of its potential to advance robotic manufacturing, brain processing understanding, and novel computing paradigms, this project will enable the candidate to enhance his position at the forefront of advances in this field.

Ámbito científico (EuroSciVoc)

• ciencias naturales › informática y ciencias de la información › software › software de aplicación › software de sistemas › sistema operativo
• ciencias naturales › matemáticas › matemáticas puras › matemáticas discretas › lógica matemática
• ciencias naturales › informática y ciencias de la información › inteligencia artificial › aprendizaje automático › aprendizaje profundo
• ciencias naturales › ciencias biológicas › neurobiología › neurociencia computacional
• ciencias naturales › informática y ciencias de la información › ciencia de datos › tratamiento de datos

Palabras clave

• Neural Plasticity
• Motor Control
• Neural Information Coding

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2014

Coordinador

UNIVERSIDAD DE GRANADA

• Aportación neta de la UEn: € 158 121,60
• Dirección: CUESTA DEL HOSPICIO SN ; 18071 GRANADA ; España
• Región: Sur › Andalucía › Granada
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 158 121,60