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

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.

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics/autonomous robots
  • /medical and health sciences/health sciences/public and environmental health
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/telecommunications network
  • /natural sciences/computer and information sciences/data science/data processing
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/automation and control systems
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /natural sciences/biological sciences/neurobiology/computational neuroscience

Call for proposal

H2020-MSCA-IF-2014
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

SORBONNE UNIVERSITE
Address
21 Rue De L'ecole De Medecine
75006 Paris
France
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 173 076