Publications associées (35)

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

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

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