Publications related to Dorsal column nuclei

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: Experimental data, activations and predictions of neural network models

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

Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...

EPFL Infoscience2024

Task-driven neural network models predict neural dynamics of proprioception

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 ...

2023

Targeted dorsal root entry zone stimulation alleviates pain due to meralgia paresthetica

Grégoire Courtine, Jocelyne Bloch, Léonie Asboth, Robin Jonathan Demesmaeker, Nicolas Hankov, Jimmy James Ravier, Viviana Aureli, Molywan Vat

Objective. Meralgia paresthetica (MP) is a mononeuropathy of the exclusively sensory lateral femoral cutaneous nerve (LFCN) that is difficult to treat with conservative treatments. Afferents from the LFCN enter the spinal cord through the dorsal root entry ...

IOP Publishing Ltd2022

Anatomical and functional characterization of neocortical circuits involved in transforming whisker sensory processing into goal-directed licking

Georgios Foustoukos

The choice of an action upon perception of an external stimulus, arriving at a sensory organ of an animal, depends on previous experiences and outcomes throughout its life. In the rodent brain, the underlying mechanisms involved in simple sensorimotor tran ...

EPFL2021

Computational model of the dorsal horn circuitry for innocuous touch

Silvestro Micera, Simone Romeni

Providing a naturalistic tactile sensory feedback is currently one of the key challenges in neuroprosthetics. Modeling has played a fundamental role in the development of "biomimetic" stimulation protocols, determining optimal activation patterns to be eli ...

IEEE2021

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Alessandro Daducci, Cristina Granziera, Muhamed Barakovic

At the typical spatial resolution of MRI in the human brain, approximately 60–90% of voxels contain multiple fiber populations. Quantifying microstructural properties of distinct fiber populations within a voxel is therefore challenging but necessary. Whil ...

2020

Spatiotemporal Maps of Proprioceptive Inputs to the Cervical Spinal Cord During Three-Dimensional Reaching and Grasping

Auke Ijspeert, Shravan Tata Ramalingasetty, Marco Capogrosso, Beatrice Barra, Nathan Antoine Greiner, Pierre Charles Marie Kibleur, Sara Conti

Proprioceptive feedback is a critical component of voluntary movement planning and execution. Neuroprosthetic technologies aiming at restoring movement must interact with it to restore accurate motor control. Optimization and design of such technologies de ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Dimitri Nestor Alice Van De Ville, Olivier Benoit Thomas Reynaud, Domenica Bueti, Fatma Megdiche

Introduction Modern imaging techniques such as blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) allow the non-invasive and indirect measurement of brain activity. Whether changes in signal intensity can be detected in small ...

2020

Task-driven hierarchical deep neural network models of the proprioceptive pathway

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

Biological motor control is versatile and efficient. Muscles are flexible and undergo continuous changes requiring distributed adaptive control mechanisms. How proprioception solves this problem in the brain is unknown. Here we pursue a task-driven modelin ...

Neuroscience2020

Dorsal column nuclei

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

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Task-driven neural network models predict neural dynamics of proprioception

Targeted dorsal root entry zone stimulation alleviates pain due to meralgia paresthetica

Anatomical and functional characterization of neocortical circuits involved in transforming whisker sensory processing into goal-directed licking

Computational model of the dorsal horn circuitry for innocuous touch

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Spatiotemporal Maps of Proprioceptive Inputs to the Cervical Spinal Cord During Three-Dimensional Reaching and Grasping

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Task-driven hierarchical deep neural network models of the proprioceptive pathway

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Targeted dorsal root entry zone stimulation alleviates pain due to meralgia paresthetica

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

Task-driven neural network models predict neural dynamics of proprioception

Anatomical and functional characterization of neocortical circuits involved in transforming whisker sensory processing into goal-directed licking

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Computational model of the dorsal horn circuitry for innocuous touch

Spatiotemporal Maps of Proprioceptive Inputs to the Cervical Spinal Cord During Three-Dimensional Reaching and Grasping

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Task-driven hierarchical deep neural network models of the proprioceptive pathway

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation