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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 271 à 280 sur 1520 au total

Life Sciences

Two-timepoint assays of neural responses increase the sensitivity and specificity of single-cell whole-brain activity screens

Current approaches for surveying whole brains for neurons activated during a particular state typically rely on immediate early gene (IEG) expression. However, IEG expression is variable across subjects and brain areas, demanding large sample sizes…

Alejandro Ramirez, Lydia Rogerson, Evan Kyzar, Chloé Berland, Erica Rodriguez, Juan Guerrero, Luke Hammond, Anthony Ferrante, C. Daniel Salzman

Neuroscience

Continuous Assessment of Mental Workload During Complex Human–Machine Interaction: Inferring Cognitive State from Signals External to the Operator

The use of complex human–machine interfaces (HMIs) has grown rapidly over the last few decades in both industrial and personal contexts. Now more than ever, the study of mental workload (MWL) in HMI operators appears essential: when mental demand…

Axel Roques, Dimitri Keriven Serpollet, Alice Nicolaï, Stéphane Buffat, Yannick James, Nicolas Vayatis, Ioannis Bargiotas, Pierre-Paul Vidal

Sensors -

Neuroscience

Vision toolkit part 1. Neurophysiological foundations and experimental paradigms in eye-tracking research: a review

Eye-tracking research offers valuable insights into human gaze behavior by examining the neurophysiological mechanisms that govern eye movements and their dynamic interactions with external stimuli. This review explores the foundational principles…

Quentin Laborde, Axel Roques, Matthieu Robert, Allan Armougum, Nicolas Vayatis, Ioannis Bargiotas, Laurent Oudre, Pierre-Paul Vidal

Frontiers in Physiology -

Statistics Theory

Graph-based machine learning for detection tasks on complex systems

Recent technological advances have increased our capacity to monitor many aspects of daily life or natural phenomena by collecting and analyzing data in real-time coming from multiple data sources. For example, public transportation systems monitor…

Alejandro David de la Concha Duarte

Engineering Sciences

High-precision cable force identification in bridges: a data-driven approach integrating digital twins and transfer learning

This paper proposes a novel data-driven framework for accurate cable force monitoring in bridges, which is crucial for ensuring structural integrity and extending service life. Leveraging the power of Digital Twins (DT), a comprehensive dataset of…

Xingjun Gao, Mengkai Wang, Gongfa Chen, David Bassir, Ming Jun Zhang

Discover Mechanical Engineering -