Publications

Neuroscience

Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability

The temporo-basal region of the human brain is composed of the collateral, the occipitotemporal, and the rhinal sulci. We manually rated (using a novel protocol) the connections between rhinal/collateral (RS-CS), collateral/occipito-temporal (CS-OTS…

Kevin de Matos, Claire Cury, Lydia Chougar, Lachlan T Strike, Thibault Rolland, Maximilien Riche, Lisa Hemforth, Alexandre Martin, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Juliane H Fröhner, Herve Lemaitre, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane H Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Vincent Frouin, Meritxell Bach Cuadra, Olivier Colliot, Baptiste Couvy-Duchesne

Brain Structure and Function - 2023

Neurobiology

Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria

Incomplete Hippocampal Inversion (IHI) is an atypical anatomical pattern of the hippocampus that has been associated with several brain disorders (epilepsy, schizophrenia). IHI can be visually detected on coronal T1 weighted MRI images. IHI can be…

Lisa J Hemforth, Claire Cury, Vincent Frouin, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Luise Poustka, Sarah Hohmann, Sabina Millenet, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Baptiste Couvy-Duchesne, Olivier Colliot

SPIE Medical Imaging 2023 - 2023

Cognitive science

A heartbeat-based study of attention in the detection of digital alarms from focused and distributed supervisory control systems

Frédéric Vanderhaegen, M. Wolff, R. Mollard

Cognition, Technology and Work - 2023

Mathematics

Convergence rates and approximation results for SGD and its continuous-time counterpart

This paper proposes a thorough theoretical analysis of Stochastic Gradient Descent (SGD) with non-increasing step sizes. First, we show that the recursion defining SGD can be provably approximated by solutions of a time inhomogeneous Stochastic…

Xavier Fontaine, Valentin de Bortoli, Alain Durmus

Quantum Physics

Quantum fluctuations induce collective multi-phonons in finite Fermi liquids

We show that collective multi-phonon states in atomic nuclei emerge at high excitation energies when quantum fluctuations are included beyond the independent particle approximation. The quadrupole response of a nucleus is studied using an extension…

Petar Marević, David Regnier, Denis Lacroix

Phys.Rev.C - 2023

Analysis of PDEs

Massively parallel computation of globally optimal shortest paths with curvature penalization

We address the computation of paths globally minimizing an energy involving their curvature, with given endpoints and tangents at these endpoints, according to models known as the Reeds-Shepp car (reversible or forward only), the Euler-Mumford…

Jean-Marie Mirebeau, Lionel Gayraud, Rémi Barrère, Da Chen, François Desquilbet

Concurrency and Computation: Practice and Experience - 2023

Mathematics

Polynomial approximations in a generalized Nyman–Beurling criterion

François Alouges, Sébastien Darses, Erwan Hillion

Journal de Théorie des Nombres de Bordeaux - 2023

Machine Learning

Barycentric embeddings for geometric manifold learning

An MRI image has over 60,000 pixels. The largest known human protein consists of around 30,000 amino acids. We call such data high-dimensional. In practice, most high-dimensional data is high-dimensional only artificially. For example, of all the…

Elodie Maignant

Santé publique et épidémiologie

RADIO-AIDE : une modélisation spatio-temporelle des effets secondaires cognitifs observés dans les suites de la radiothérapie cérébrale

Introduction et but de l’étude La radiothérapie est un traitement majeur des tumeurs du système nerveux central. L’altération des fonctions cognitives, fréquemment observée dans les suites d’une radiothérapie cérébrale, peut être en rapport avec la…

Julian Jacob, Sarah Amrani Joutei, Monica Ribeiro, Georges Noël, Florence Forbes, Michel Dojat, Marie-Odile Bernier, Cecilia Damon, Alan Tucholka, Catherine Jenny, Alice Bressand, Philippe Maingon, Lucia Nichelli, Nadya Pyatigorskaya, Alice Thomas-Joulié, Dimitri Psimaras, Khe Hoang-Xuan, Cyrus Chargari, Jean-Marc Simon, Sophie Ancelet, Damien Ricard

34ème congrès de la SFRO - 2023

Neural and Evolutionary Computing

An in-depth study of the deep learning pipeline

Despite the tremendous success of neural networks in many applications, progress in understanding their performance and limits is slow. While universal approximation theorems bring the promise of machines capable of approximating any complex mapping…

Adrien Courtois