Motor learning involves a widespread brain network including the basal ganglia,
cerebellum, motor cortex, and brainstem. Despite its importance, little is known about how …

Virtual reality (VR) simulator has emerged as a laparoscopic surgical skill training tool that
needs validation using brain–behavior analysis. Therefore, brain network and skilled …

This work presents a neurorobotics model of the brain that integrates the cerebellum and the
basal ganglia regions to coordinate movements in a humanoid robot. This cerebellar-basal …

A major problem in motor control is understanding how the brain plans and executes proper
movements in the face of delayed and noisy stimuli. A prominent framework for addressing …

Neurodynamics is a foundational branch of dynamics and control, which belongs to the
international frontier of the interdisciplinary field of mechanics, brain science and …

Neuropsychiatric and neurodevelopmental disorders are often associated with coordination
problems. Pediatric Acute-onset Neuropsychiatric Syndrome (PANS) constitutes a specific …

Roboticists and neuroscientists are interested in understanding and reproducing the neural
and cognitive mechanisms behind the human ability to interact with unknown and changing …

Recent models of spiking neuronal networks have been trained to perform behaviors in
static environments using a variety of learning rules, with varying degrees of biological …

While slowness of movement is an obligatory characteristic of Parkinson's disease (PD),
there are conditions in which patients move uncharacteristically fast, attributed to deficient …

Although some current AIs surpass human abilities especially in closed worlds such as
board games, their performance in the messy real world is limited. They make strange …