Publications associées à Native learning ability and not age determines the effects of brain stimulation

Publications associées (12)

Scan-based fusion proteins for modulating gene expression and methods of use

The invention provides fusion protein comprising a SCAN domain bearing member of a zinc finger-containing protein, a fragment or variant thereof and a catalytically inactive RNA- guided endonuclease or a DNA adenine methyltransferase. Preferably, the fusio ...

2025

From Pose to Behavior: Advancing Multi-Individual Pose Estimation and Hierarchical Action Segmentation with Transformers

Lucas Maximilian Stoffl

Accurately measuring behavior is critical to understanding brain function. While traditional behavioral analysis has relied on human observation and manual processing, advances in machine learning and computer vision have begun to automate the field. This ...

EPFL2025

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Keyvan Farhang Razi

Epilepsy is a common chronic neurological disorder that causes recurring seizures and affects more than 50 million people worldwide. Implantable medical devices (IMDs) are regarded as effective tools to cure patients who suffer from refractory epilepsy. Se ...

EPFL2023

Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization

Anthony Vocat

Tuberculosis (TB) is a major global health challenge, with approximately 1.4 million deaths per year. There is still a need to develop novel treatments for patients infected with Mycobacterium tuberculosis (Mtb). There have been many large-scale phenotypic ...

AMER CHEMICAL SOC2022

Neural interface systems with on-device computing: machine learning and neuromorphic architectures

Mahsa Shoaran

Development of neural interface and brain-machine interface (BMI) systems enables the treatment of neurological disorders including cognitive, sensory, and motor dysfunctions. While neural interfaces have steadily decreased in form factor, recent developme ...

CURRENT BIOLOGY LTD2021

Data-driven myelin water imaging based on T-1 and T-2 relaxometry

Tobias Kober, Tom Hilbert, Erick Jorge Canales Rodriguez, Marco Pizzolato

Long acquisition times preclude the application of multiecho spin echo (MESE) sequences for myelin water fraction (MWF) mapping in daily clinical practice. In search of alternative methods, previous studies of interest explored the biophysical modeling of ...

WILEY2021

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal

Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

2021

Effect of illumination and applied potential on the electrochemical impedance spectra in triple cation (FA/MA/Cs) 3D and 2D/3D perovskite solar cells

Mohammad Khaja Nazeeruddin, Sanghyun Paek

Even though there has been numerous works performed based on electrochemical impedance spectroscopy (EIS) of perovskite solar cells (PSCs), however, many aspects of the obtained EI spectra are yet to be fully grasped. Moreover, the change of these spectra ...

ELSEVIER SCIENCE SA2021

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Denis Gillet, Maria Jesus Rodriguez Triana

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed accoun ...

2021

TMS-induced control of bodily self-consciousness by combining non-invasive brain stimulation and immersive virtual reality

Matteo Franza

Our brain constantly receives and integrates a flow of sensory and motor information that shapes the way our body is represented. Several experimental approaches have been proposed to alter the body representation, by manipulating exteroceptive or interoce ...

EPFL2020

Six-Month Assessment of a Hand Prosthesis with Intraneural Tactile Feedback

Silvestro Micera, Ivo Strauss, Stanisa Raspopovic, Giacomo Valle, Francesco Maria Petrini, Edoardo D'Anna

Objective Hand amputation is a highly disabling event, which significantly affects quality of life. An effective hand replacement can be achieved if the user, in addition to motor functions, is provided with the sensations that are naturally perceived whil ...

2019

Comparison of linear frequency and amplitude modulation for intraneural sensory feedback in bidirectional hand prostheses

Silvestro Micera, Francesco Maria Petrini, Ivo Strauss, Stanisa Raspopovic, Giacomo Valle, Pablo Garcia del Valle, Edoardo D'Anna, Valeria Granata

Recent studies have shown that direct nerve stimulation can be used to provide sensory feedback to hand amputees. The intensity of the elicited sensations can be modulated using the amplitude or frequency of the injected stimuli. However, a comprehensive c ...

Nature Research2018