Michel Besserve

Neuroscience · Life Sciences

20h-index1.7kcitations112works0.02yr avg
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Research Topics

Neural dynamics and brain function(47), Functional Brain Connectivity Studies(22), EEG and Brain-Computer Interfaces(15), Neural Networks and Applications(12), Bayesian Modeling and Causal Inference(10)

Publications112 total

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
ArXiv.org·2025Open Access
Controlling for discrete unmeasured confounding in nonlinear causal models
arXiv (Cornell University)·2024Open Access
Independent Mechanism Analysis and the Manifold Hypothesis
arXiv (Cornell University)·2023Open Access
Targeted Reduction of Causal Models
arXiv (Cornell University)·2023Open Access
Nonparametric Identifiability of Causal Representations from Unknown Interventions
arXiv (Cornell University)·2023· 2 citedOpen Access
Information theoretic measures of causal influences during transient neural events
Frontiers in Network Physiology·2023· 7 citedOpen Access
Causal Component Analysis
arXiv (Cornell University)·2023· 2 citedOpen Access
Uncovering the organization of neural circuits with Generalized Phase Locking Analysis
PLoS Computational Biology·2023· 8 citedOpen Access
Information Theoretic Measures of Causal Influences during Transient Neural Events
arXiv (Cornell University)·2022Open Access
Function Classes for Identifiable Nonlinear Independent Component Analysis
arXiv (Cornell University)·2022· 3 citedOpen Access
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
arXiv (Cornell University)·2022Open Access
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
arXiv (Cornell University)·2022· 5 citedOpen Access
Bayesian Information Criterion for Event-based Multi-trial Ensemble data
arXiv (Cornell University)·2022· 2 citedOpen Access
Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports
Nature Communications·2022· 110 citedOpen Access
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective"
arXiv (Cornell University)·2022Open Access
Cause-effect inference through spectral independence in linear dynamical\n systems: theoretical foundations
arXiv (Cornell University)·2021Open Access
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
arXiv (Cornell University)·2021Open Access
Estimation of Spontaneous Transient Dynamics based on Peri-event Data
German Neuroinformatics Node·2021Open Access
Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling
German Neuroinformatics Node·2021Open Access
Exploring the Latent Space of Autoencoders with Interventional Assays
arXiv (Cornell University)·2021· 9 citedOpen Access
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Frequent Co-authors

Bernhard Schölkopf(19), Nikos K. Logothetis(17), Jacques Martinerie(9), Juan F. Ramírez-Villegas(6), Line Garnero(6), Yusuke Murayama(5), Theofanis I. Panagiotaropoulos(5), Julius von Kügelgen(5), Luigi Gresele(5), Dominik Janzing(5), HC Evrard(4), A Oeltermann(4), Stefano Panzeri(4), Vishal Kapoor(4), François Laurent(4), Rémy Sun(4), Shervin Safavi(3), Geneviève Florence(3), Wieland Brendel(3), Naji Shajarisales(3)