Publications associées à Motor skill

Markerless tracking of user-defined features with deep learning

Alexander Mathis, Mackenzie Mathis, Matthias Bethge, Pranav Mamidanna

Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be h ...

2018

Restoring Motor Functions After Stroke: Multiple Approaches and Opportunities

Friedhelm Christoph Hummel, Estelle Emeline Raffin

More than 1.5 million people suffer a stroke in Europe per year and more than 70% of stroke survivors experience limited functional recovery of their upper limb, resulting in diminished quality of life. Therefore, interventions to address upper-limb impair ...

2018

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Marc-Oliver Gewaltig

There have been many advances in the field of reinforcement learning in continuous control problems. Usually, these approaches use deep learning with artificial neural networks for approximation of policies and value functions. In addition, there have been ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Diego Marino, Sofia Milanese

The design, realization and verification of a system for personalized rehabilitation of Spinal Cord Injury (SCI) patients are here presented. It consists of two main parts: (i) one induces in the patient the physiotherapic movement proposed by the trainer ...

IEEE2018

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Sandro Carrara, Francesca Stradolini, Danilo Demarchi, Diego Marino, Sofia Milanese

IEEE2018

Optimized scripting in Massive Open Online Courses

Frédéric Kaplan, Isabella Di Lenardo

The Time Machine MOOC, currently under preparation, is designed to provide the necessary knowledge for students to use the editing tool of the Time Machine platform. The first test case of the platform in centered on our current work on the City of Venice ...

2017

Interactions between the corticospinal tract and premotor-motor pathways in stroke recovery

Friedhelm Christoph Hummel

Background and Purpose-Brain imaging has continuously enhanced our understanding how different brain networks contribute to motor recovery after stroke. However, the present models are still incomplete and do not fit for every patient. The interaction betw ...

American Heart Association2017

A Murine Model of Robotic Training to Evaluate Skeletal Muscle Recovery after Injury

Silvestro Micera, Stefano Lai

LAI, S., A. PANARESE, R. LAWRENCE, M. L. BONINGER, S. MICERA, and F. AMBROSIO. A Murine Model of Robotic Training to Evaluate Skeletal Muscle Recovery after Injury. Med. Sci. Sports Exerc., Vol. 49, No. 4, pp. 840-847, 2017. Purpose: In vivo studies have s ...

American College of Sports Medicine2017

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Motor skill

Markerless tracking of user-defined features with deep learning

Restoring Motor Functions After Stroke: Multiple Approaches and Opportunities

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Closed-Loop Functional Electrical Stimulation for Gait Training for Patients with Paraplegia

Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice

Optimized scripting in Massive Open Online Courses

Interactions between the corticospinal tract and premotor-motor pathways in stroke recovery

A Murine Model of Robotic Training to Evaluate Skeletal Muscle Recovery after Injury

Graph Chatbot

Chattez avec Graph Search

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Markerless tracking of user-defined features with deep learning

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Restoring Motor Functions After Stroke: Multiple Approaches and Opportunities

Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine

Closed-Loop Functional Electrical Stimulation for Gait Training for Patients with Paraplegia

A Murine Model of Robotic Training to Evaluate Skeletal Muscle Recovery after Injury

Optimized scripting in Massive Open Online Courses

Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice

Interactions between the corticospinal tract and premotor-motor pathways in stroke recovery