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Related publications (4)

Towards Trustworthy Deep Learning for Image Reconstruction

The remarkable ability of deep learning (DL) models to approximate high-dimensional functions from samples has sparked a revolution across numerous scientific and industrial domains that cannot be overemphasized. In sensitive applications, the good perform ...

EPFL2024

Neuroengineering of hallucinations through fMRI neurofeedback: Understanding and modulating neural dynamics for the control of hallucinations in health and disease

Herberto Dhanis Pedro De Barros Camacho

Recent years have seen considerable progress in understanding brain function, and in modulating it through real-time fMRI neurofeedback (NF). Inspired by these advances, paired with the unique possibility of inducing the clinically relevant Presence Halluc ...

EPFL2023

Torso-mounted Vibrotactile Interface to Experimentally Induce Illusory Own-body Perceptions

Olaf Blanke, Hannes Bleuler, Giulio Rognini, Masayuki Hara

Recent developments in virtual reality and robotic technologies have allowed investigating the behavioural and brain mechanisms that grounds self-consciousness in the multisensory (e.g. vision and touch) and sensorimotor processing of bodily signals. Yet, ...

IEEE2019

Wearable systems for grasp rehabilitation after stroke

Andrea Crema

Stroke is the leading cause of long term disability, causing both motor and cognitive impairments. Stroke impacts both motor and somatosensory capabilities of the individual, causing distorted perception of the environment and of the body. Consequently per ...

EPFL2017

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