activity
20102026
most citedUsing Shallow Neural Networks with Functional Connectivity from EEG signals for Early Diagnosis of Alzheimer's and Frontotemporal Dementia

17 citations · 40 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY2026

New perspectives for the fitness fatigue model: how to revisit questions about the science of sports training from the perspective of systems control theory

Jacky Montmain, Pierre Couturier, Gérard Dray

The Fitness-Fatigue model (FFM) was initially designed to gain a better physiological understanding of the impact of training loads on sports performance. For almost 50 years, simu…

q-bio.NC2026

An Open-Access Multi-modal Dataset for Cognitive, Motor, and Cognitive-Motor Tasks

Zaineb Ajra, Grégoire Vergotte, Stéphane Perrey +5

The incorporation of neuroimaging techniques such as electroenchephalography (EEG) and functional near-infrared spectroscopy (fNIRS) has provided new opportunities for the analysis…

cs.LG2025★ 1 cited

Relevance-Aware Thresholding in Online Conformal Prediction for Time Series

Théo Dupuy, Binbin Xu, Stéphane Perrey +2

Uncertainty quantification has received considerable interest in recent works in Machine Learning. In particular, Conformal Prediction (CP) gains ground in this field. For the case…

q-bio.NC2024★ 2 cited

How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?

Zaineb Ajra, Binbin Xu, Gérard Dray +2

Over recent decades, neuroimaging tools, particularly electroencephalography (EEG), have revolutionized our understanding of the brain and its functions. EEG is extensively used in…

q-bio.NC2023★ 17 cited

Using Shallow Neural Networks with Functional Connectivity from EEG signals for Early Diagnosis of Alzheimer's and Frontotemporal Dementia

Zaineb Ajra, Binbin Xu, Gérard Dray +2

{Introduction: } Dementia is a neurological disorder associated with aging that can cause a loss of cognitive functions, impacting daily life. Alzheimer's disease (AD) is the most…

eess.SP2022★ 12 cited

Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG

Zaineb Ajra, Binbin Xu, Gérard Dray +2

In recent years, neuroscientists have been interested to the development of brain-computer interface (BCI) devices. Patients with motor disorders may benefit from BCIs as a means o…