56 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR14 papers
- InsermFR13 papers
- Lyon 1 UniversitéFR11 papers
- Centre Hospitalier Le VinatierFR7 papers
- IntraHealth InternationalUS3 papers
- Laboratoire Bordelais de Recherche en InformatiqueFR3 papers
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR2 papers
- Hospices Civils de LyonFR2 papers
- Institut de Systématique, Évolution, BiodiversitéFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Laboratoire d'Informatique en Images et Systèmes d'InformationFR2 papers
- Lyon CollegeUS2 papers
31 papers
The Neurobiological Craving Signature (NCS) predicts social craving and responds to social isolation
Ana Defendini Cortes, Livia Tomova, Leonie Koban
Humans are inherently social and seek connection with others for survival. Recent studies suggest that acute social isolation leads to craving for social interactions, but the brai…
Hippocampus mediates conceptual generalization of pain modulation
Dylan Sutterlin Guindon, Tor D Wager, Leonie Koban
Pain is strongly influenced by expectations and learning from previous experience, such as in classical conditioning. Conditioned responses and expectations can generalize to perce…
Responses of the Neurobiological Craving Signature to smoking versus alternative social rewards predict craving and monthly smoking in adolescents
Maddalena Tamellini, Joyce Dieleman, Guillaume Sescousse +2
Smoking remains the leading cause of preventable mortality worldwide. Adolescents are particularly vulnerable to the development of tobacco addiction due to ongoing brain maturatio…
Acoustic evaluation of a neural network dedicated to the detection of animal vocalisations
Jérémy Rouch, M Ducrettet, S Haupert +2
The accessibility of long-duration recorders, adapted to sometimes demanding field conditions, has enabled the deployment of extensive animal population monitoring campaigns throug…
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Daria Zotova, Nicolas Pinon, Robin Trombetta +3
Background and Objective. Research in the cross-modal medical image translation domain has been very productive over the past few years in tackling the scarce availability of large…
Gain modulation of actions selection without synaptic relearning
Elif Köksal-Ersöz, Pascal Chossat, Frédéric Lavigne
Adaptation of behavior requires the brain to change goals in a changing environment. Synaptic learning has demonstrated its effectiveness in changing the probability of selecting a…
Vascular Segmentation of Functional Ultrasound Images using Deep Learning
Hana Sebia, Thomas Guyet, Mickaël Pereira +3
Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and PET modalities have significantly benefited from deep learning segmentation tech…
Peripheral Nervous System Responses to Food Stimuli: Analysis Using Data Science Approaches
Maelle Moranges, Marc Plantevit, Moustafa Bensafi
In the field of food, as in other fields, the measurement of emotional responses to food and their sensory properties is a major challenge. In the present protocol, we propose a st…
Evaluating Speech-in-Speech Perception via a Humanoid Robot
Luke Meyer, Gloria Araiza-Illan, Laura Rachman +2
Underlying mechanisms of speech perception masked by background speakers, a common daily listening condition, are often investigated using various and lengthy psychophysical tests.…
Auditory cortex and beyond: Deficits in congenital amusia
Barbara Tillmann, Jackson Graves, Francesca Talamini +7
Congenital amusia is a neuro-developmental disorder of music perception and production, with the observed deficits contrasting with the sophisticated music processing reported for…
A recurrent connectionist model of melody perception : An exploration using TRACX2
Daniel Defays, Robert French, Barbara Tillmann
Are similar, or even identical, mechanisms used in the computational modeling of speech segmentation, serial image processing and music processing? We address this question by expl…
Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data
Pauline Mouches, Thibaut Dejean, Julien Jung +3
Magnetoencephalography (MEG) recordings of patients with epilepsy exhibit spikes, a typical biomarker of the pathology. Detecting those spikes allows accurate localization of brain…
Mismatch Negativity: time for deconstruction
Francoise Lecaignard, Jeremie Mattout
Error signals are the cornerstone of predictive coding and are widely considered essential to sensory perception and beyond. The mismatch negativity (MMN) is arguably the most embl…
Fair coins tend to land on the same side they started: Evidence from 350,757 flips
František Bartoš, Alexandra Sarafoglou, Henrik R. Godmann +47
Many people have flipped coins but few have stopped to ponder the statistical and physical intricacies of the process. We collected coin flips to test the counterintuit…
Is controlling a brain-computer interface just a matter of presence of mind? The limits of cognitive-motor dissociation
Perrine Seguin, Emmanuel Maby, Fabien Perrin +2
Brain-computer interfaces (BCI) are presented as a solution for people with global paralysis, also known as locked-in syndrome (LIS). The targeted population includes the most seve…
Use of a humanoid robot for auditory psychophysical testing
Luke Meyer, Laura Rachman, Gloria Araiza-Illan +2
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO ro…
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy detection and continuous out…
Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time in Vivo MR Spectroscopy
Gaël Vila, Axel Bonnet, Fabien Chauveau +4
In vivo metabolite quantification by short echo time MR spectroscopy is a challenge for which various methods have been proposed. In this study, the reproducibility of quantificati…
Seizures and epilepsy after intracerebral hemorrhage: an update
Laurent Derex, Sylvain Rheims, Laure Peter-Derex
Seizures are common after intracerebral hemorrhage, occurring in 6 to 15% of the patients, mostly in the first 72 hours. Their incidence reaches 30% when subclinical or non-convuls…
Physics-based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons: insights from an Alpine and a Neotropical forest
Sylvain Haupert, Frédéric Sèbe, Jérôme Sueur
1. Passive acoustic monitoring of biodiversity is growing fast, as it offers an alternative to traditional aural point count surveys, with the possibility to deploy long-term acous…
Branched chain amino acids, an ''essential'' link between diet, clock and sleep?
Laurent Seugnet
The branched-chain amino acids: leucine, isoleucine and valine occupy a special place among the essential amino acids because of their importance not only in the structure of prote…
Respiratory rhythm entrains membrane potential and spiking of non-olfactory neurons
Maxime Juventin, Mickael Zbili, Nicolas Fourcaud-Trocmé +3
In recent years, several studies have tended to show a respiratory drive in numerous brain areas so that the respiratory rhythm could be considered as a master clock promoting comm…
Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity
M. Moranges, C. Rouby, M. Plantevit +1
Measuring emotions is a real challenge for fundamental and applied research, especially in ecological contexts. de Wijk and Noldus propose combining two types of measures-explicit…
Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI
Jelena Mladenović, Jeremy Frey, Smeety Pramij +2
Objective. Neural self-regulation is necessary for achieving control over brain-computer interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI…