Publications related to Proprioception

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

EPFL Infoscience2024

Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

Here we provide the synthetic spindle datasets of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the synthetic generated training dataset of simulated muscle spindles during arm passive movements gene ...

Zenodo2024

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Alexander Mathis, Mackenzie Mathis, Kai Jappe Sandbrink, Matthias Bethge, Pranav Mamidanna

Biological motor control is versatile, efficient, and depends on proprioceptive feedback. Muscles are flexible and undergo continuous changes, requiring distributed adaptive control mechanisms that continuously account for the body's state. The canonical r ...

eLIFE SCIENCES PUBL LTD2023

Task-driven neural network models predict neural dynamics of proprioception

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

2023

Pathway and directional specificity of Hebbian plasticity in the cortical visual motion processing network

Friedhelm Christoph Hummel, Estelle Emeline Raffin, Michele Bevilacqua

Cortico-cortical paired associative stimulation (ccPAS), which repeatedly pairs single-pulse transcranial magnetic stimulation (TMS) over two distant brain regions, is thought to modulate synaptic plasticity. We explored its spatial selectivity (pathway an ...

2023

A multi-material robotic finger with integrated proprioceptive and tactile capabilities produced with a circular process

Josephine Anna Eleanor Hughes, Kai Christian Junge, Antonia Georgopoulou Papadonikolaki

When developing or designing biomimetic robotic fingers with rigid and soft components and integrated sensors, fabrication is often a bottle-neck when assembling and casting processing techniques are used. This study introduces a thermoplastic multi-materi ...

IEEE2023

Novel Design and Implementation of a Neuromuscular Controller on a Hip Exoskeleton for Partial Gait Assistance

Auke Ijspeert, Mohamed Bouri, Ali Reza Manzoori, Andrea Di Russo, Sara Messara

Exoskeletons intended for partial assistance of walking should be able to follow the gait pattern of their users, via online adaptive control strategies rather than imposing predefined kinetic or kinematic profiles. NeuroMuscular Controllers (NMCs) are ada ...

2023

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

Auke Ijspeert, Guillaume Denis Antoine Bellegarda

In this letter, we present a method for integrating central pattern generators (CPGs), i.e. systems of coupled oscillators, into the deep reinforcement learning (DRL) framework to produce robust and omnidirectional quadruped locomotion. The agent learns to ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Reaching articular limits can negatively impact embodiment in virtual reality

Olaf Blanke, Ronan Boulic, Bruno Herbelin

Providing Virtual Reality(VR) users with a 3D representation of their body complements the experience of immersion and presence in the virtual world with the experience of being physically located and more personally involved. A full-body avatar representa ...

2022

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Proprioception

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Task-driven neural network models predict neural dynamics of proprioception

Pathway and directional specificity of Hebbian plasticity in the cortical visual motion processing network

A multi-material robotic finger with integrated proprioceptive and tactile capabilities produced with a circular process

Novel Design and Implementation of a Neuromuscular Controller on a Hip Exoskeleton for Partial Gait Assistance

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

Reaching articular limits can negatively impact embodiment in virtual reality

Aging and matrix viscoelasticity affect multiscale tendon properties and tendon derived cell behavior

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Chat with Graph Search

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Aging and matrix viscoelasticity affect multiscale tendon properties and tendon derived cell behavior

Task-driven neural network models predict neural dynamics of proprioception

Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

A multi-material robotic finger with integrated proprioceptive and tactile capabilities produced with a circular process

Pathway and directional specificity of Hebbian plasticity in the cortical visual motion processing network

Novel Design and Implementation of a Neuromuscular Controller on a Hip Exoskeleton for Partial Gait Assistance

CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion

Reaching articular limits can negatively impact embodiment in virtual reality