Combining computational neuroscience tools with robotic devices allows to reproduce and investigate the interactions between embodied functional brain models and sensoryrich environments, integrating neural activity and behavioral data. As these models seldom include faithful biological features, their development can be used to suggest and test hypotheses on neurophysiological or pathological mechanisms, eventually impacting on challenging clinical applications. This project implemented a virtual neurorobotic experiment aimed at investigating the functional role of cerebro-cerebellar interactions in motor learning tasks, specifically designed to clarify the contribution of different brain areas in motor preparation and execution during rew...
<p>EBCC-like, VOR and upper limb perturbed reaching: on the left column the typical set-up used in n...
Understanding the process of how the brain learns a new skill, whether a motor skill such as riding ...
The human brain is undoubtedly the most complex product of evolution. Understanding how complex beh...
The function of the cerebellum has long been known to be essential in motor control and learning. El...
My dissertation focuses on three research problems to investigate how the robot's behavior leads to ...
Despite decades of societal investment in artificial learning systems, truly “intelligent&rdqu...
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biol...
Background: The potential of robot-mediated therapy and virtual reality in neurorehabilitation is be...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Developing neuro-inspired computing paradigms that mimic nervous system function is an emerging fiel...
Abstract Background The potential of robot-mediated therapy and virtual reality in neurorehabil...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
Understanding why deep neural networks and machine learning algorithms act as they do is a difficult...
The brain shows a complex multiscale organization that prevents a direct understanding of how struct...
Whenever we perform a movement and interact with objects in our environment, our central nervous sys...
<p>EBCC-like, VOR and upper limb perturbed reaching: on the left column the typical set-up used in n...
Understanding the process of how the brain learns a new skill, whether a motor skill such as riding ...
The human brain is undoubtedly the most complex product of evolution. Understanding how complex beh...
The function of the cerebellum has long been known to be essential in motor control and learning. El...
My dissertation focuses on three research problems to investigate how the robot's behavior leads to ...
Despite decades of societal investment in artificial learning systems, truly “intelligent&rdqu...
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biol...
Background: The potential of robot-mediated therapy and virtual reality in neurorehabilitation is be...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Developing neuro-inspired computing paradigms that mimic nervous system function is an emerging fiel...
Abstract Background The potential of robot-mediated therapy and virtual reality in neurorehabil...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
Understanding why deep neural networks and machine learning algorithms act as they do is a difficult...
The brain shows a complex multiscale organization that prevents a direct understanding of how struct...
Whenever we perform a movement and interact with objects in our environment, our central nervous sys...
<p>EBCC-like, VOR and upper limb perturbed reaching: on the left column the typical set-up used in n...
Understanding the process of how the brain learns a new skill, whether a motor skill such as riding ...
The human brain is undoubtedly the most complex product of evolution. Understanding how complex beh...