Cerebellum

The NEURSEQBOT project is a Marie Skłodowska-Curie Actions founded by the European Commission (MSCA-IF-2019 891774). This multidisciplinary project studies in mice, reproduces with computational models, and applies in neurorobotics experiments how recurrent projections in the cerebellum can help with motor sequence learning.

Biologically relevant large-scale computational models currently represent one of the main methods in neuroscience for studying …

The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a …

Cerebellar Purkinje cells mediate accurate eye movement coordination. However, it remains unclear how oculomotor adaptation depends on …

We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) …

Studying and understanding the computational primitives of our neural system requires for a diverse and complementary set of …

Anthropomimetic robots sense, behave, interact, and feel like humans. By this definition, they require human-like physical hardware and …

Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje cells (within the cerebellar cortex) …

Perceiving and understanding the environment and being able to efficiently interact with it dynamically is critical for next generation of robots. The human brain is capable of processing and integrating a masive amount of hetereogeneous sensory data, both from external sources (sensory system) as from internal sources (as feedback from previously stored internal representations).

Goal: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in …