Publications related to Editorial: Getting Neuroprosthetics Out of the Lab: Improving the Human-Machine Interactions to Restore Sensory-Motor Functions

Related publications (29)

An application-based taxonomy for brain–computer interfaces

José del Rocio Millán Ruiz, Nicolas Vachicouras, Mahsa Shoaran

The term 'brain-computer interface' (BCI) is widely used. However, even among experts, its meaning can sometimes be unclear 1-3. Lack of clarity from the term has real-world implications: it can muddle regulatory guidelines, it may confuse investors, it ca ...

Springer Science and Business Media LLC2024

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Silvestro Micera

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Human-machine interface for two-dimensional steering control with the auricular muscles

Solaiman Shokur, Silvestro Micera, Daniel Jose Lins Leal Pinheiro

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

FRONTIERS MEDIA SA2023

How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?

Marcello Ienca

Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...

ELSEVIER SCIENCE INC2023

Engineering Hydrogel-coated Neural Interfaces for Chronic Deep Brain Recording

Noaf Salah Ali Alwahab

Implanted brain electrodes provide a unique way of electrically interfacing with individual neurons in vivo. However, chronic recording or stimulating capabilities of neural implants are often impaired by a strong immune response resulting in a fibrous sca ...

EPFL2023

EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Aleksander Sobolewski, Fumiaki Iwane

Error-related potentials (ErrPs) are a prominent electroencephalogram (EEG) correlate of performance monitoring, and so crucial for learning and adapting our behavior. It is poorly understood whether ErrPs encode further information beyond error awareness. ...

Cell Press2023

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

Anthony Marchand, Bruno Emanuel Ferreira De Sousa Correia

Reliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community-wide effort was launched to tackle these challenges. The latest ...

2023

Mini-review: Transcranial Alternating Current Stimulation and the Cerebellum

Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Laurijn Rianne Draaisma

Oscillatory activity in the cerebellum and linked networks is an important aspect of neuronal processing and functional implementation of behavior. So far, it was challenging to quantify and study cerebellar oscillatory signatures in human neuroscience due ...

2023

Bringing sensation to prosthetic hands-chronic assessment of implanted thin-film electrodes in humans

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle

Direct stimulation of peripheral nerves with implantable electrodes successfully provided sensory feedback to amputees while using hand prostheses. Longevity of the electrodes is key to success, which we have improved for the polyimide-based transverse int ...

2023

Deep Learning for Localized-Haptic Feedback in Tactile Surfaces

Camilo Hernandez Mejia

Touchscreens are nowadays the preferred choice for user interfaces in consumer electronics. Significant technological advances have been made in terms of touch sensing and visual quality. However, the haptic feedback offered by commercial products is still ...

EPFL2023

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Bastien Orset, Kyuhwa Lee

Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in complete paralysis. Despite progress in brain-machine interface (BMI) technology, its translation remains elusive. The primary objective of this study is to probe the h ...

Cell Press2022

Conformable neural interface based on off-stoichiometry thiol-ene-epoxy thermosets

Marta Jole Ildelfonsa Airaghi Leccardi, Diego Ghezzi, Eleonora Borda, Danashi Imani Medagoda, Elodie Geneviève Zollinger

Off-stoichiometry thiol-ene-epoxy (OSTE+) thermosets show low permeability to gases and little absorption of dissolved molecules, allow direct low-temperature dry bonding without surface treatments, have a low Young's modulus, and can be manufactured via U ...

ELSEVIER SCI LTD2022

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Daniel Keller

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2022

Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the ...

IEEE2022

Does one size fit all? - Towards the optimization and personalization of non-invasive brain stimulation paradigms to enhance motor learning

Laurijn Rianne Draaisma

The acquisition and re-acquisition of motor skills is an important aspect of daily life and in the recovery after a stroke. Non-invasive brain stimulation (NIBS) is a technique that is used to improve motor learning and enhance motor recovery in stroke sur ...

EPFL2022

Toward individualized medicine in stroke-The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Olaf Blanke, Philip Egger, Sylvain Jean-François Harquel, Silvestro Micera, Nathalie Heidi Meyer, Elena Beanato, Valérie Rita Madeleine Zufferey, Gabriel Girard, Julia Brügger, Friedhelm Christoph Hummel, Takuya Morishita, Maximilian Jonas Wessel, Philipp Johannes Koch, Estelle Emeline Raffin, Andéol Geoffroy Cadic-Melchior, Traian Popa, Diego de Leon Rodriguez, Martino Bruno Armando Ceroni, Pauline Menoud, Lisa Aïcha Mireille Julie Fleury

Despite recent improvements, complete motor recovery occurs in < 15% of stroke patients. To improve the therapeutic outcomes, there is a strong need to tailor treatments to each individual patient. However, there is a lack of knowledge concerning the preci ...

FRONTIERS MEDIA SA2022

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Carl Petersen, Sylvain Crochet, Georgios Foustoukos, Yanqi Liu

Communication between cortical areas contributes importantly to sensory perception and cognition. On the millisecond time scale, information is signaled from one brain area to another by action potentials propagating across long-range axonal arborizations. ...

FRONTIERS MEDIA SA2022

Personalizable computational models of electrical spinal cord stimulation to restore function after neurological disorders

Andreas Rowald

Spinal Cord Injury (SCI) disrupts the communication between the brain and spinal circuits below the lesion, leading to a plethora of neurological impairments, including the loss of motor function. At present, the only medical practices to enhance recovery ...

EPFL2021

Magnetoencephalography Brain Signatures Relate to Cognition and Cognitive Reserve in the Oldest-Old: The EMIF-AD 90+Study

Alessandra Griffa

The oldest-old subjects represent the fastest growing segment of society and are at high risk for dementia with a prevalence of up to 40%. Lifestyle factors, such as lifelong participation in cognitive and leisure activities, may contribute to individual c ...

FRONTIERS MEDIA SA2021

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

José del Rocio Millán Ruiz, Luca Tonin, Felix Christian Bauer

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020