Publications of M Besserve

Safavi, S.; Panagiotaropoulos, T.; Kapoor, V.; Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Uncovering the organization of neural circuits with generalized phase locking analysis. PLoS Computational Biology 19 (4), e1010983 (2023)

Kapoor, V.; Dwarakanath, A.; Safavi, S.; Werner, J.; Besserve, M.; Panagiotaropoulos, T.; Logothetis, N.: Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports. Nature Communications 13, 1535 (2022)

Safavi, S.; Logothetis, N.; Besserve, M.: From univariate to multivariate coupling between continuous signals and point processes: a mathematical framework. Neural computation 33 (7), pp. 1751 - 1817 (2021)

Ramirez-Villegas, J.; Besserve, M.; Murayama, Y.; Evrard, H.; Oeltermann, A.; Logothetis, N.: Coupling of hippocampal theta and ripples with pontogeniculooccipital waves. Nature 589 (7840), pp. 96 - 102 (2021)

Ramirez-Villegas, J.; Besserve, M.; Murayama, Y.; Evrard, H.; Oeltermann, A.; Logothetis, N.: Author Correction: Coupling of hippocampal theta and ripples with pontogeniculooccipital waves. Nature 588 (7839), p. E34 (2020)

Kapoor, V.; Besserve, M.; Logothetis, N.; Panagiotaropoulos, T.: Parallel and functionally segregated processing of task phase and conscious content in the prefrontal cortex. Communications Biology 1, 215, pp. 1 - 12 (2018)

Ramirez-Villegas, J.; Willeke, K.; Logothetis, N.; Besserve, M.: Dissecting the Synapse- and Frequency-Dependent Network Mechanisms of In Vivo Hippocampal Sharp Wave-Ripples. Neuron 100 (5), pp. 1224 - 1240 (2018)

Hindriks, R.; Arsiwalla, X.; Panagiotaropoulos, T.; Besserve, M.; Verschure, P.; Logothetis, N.; Deco, G.: Discrepancies between multi-electrode LFP and CSD phase-patterns: A forward modeling study. Frontiers in Neural Circuits 10, 51, pp. 1 - 18 (2016)

Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Diversity of sharp-wave–ripple LFP signatures reveals differentiated brain-wide dynamical events. Proceedings of the National Academy of Sciences of the United States of America 112 (46), pp. E6379 - E6387 (2015)

Besserve, M.; Lowe, S.; Logothetis, N.; Schölkopf, B.; Panzeri, S.: Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer. PLoS Biology 13 (9), pp. 1 - 29 (2015)

Laurent, F.; Valderrama, M.; Besserve, M.; Guillard , M.; Lachaux, J.-P.; Martinerie, J.; Forence, G.: Multimodal information improves the rapid detection of mental fatigue. Biomedical Signal Processing and Control 8 (4), pp. 400 - 408 (2013)

Laurent, F.; Valderrama, M.; Besserve, M.; Guillard, M.; Lachaux, J.-P.; Martinerie, J.; Forence, G.: Multimodal information improves the rapid detection of mental fatigue. Biomedical Signal Processing and Control 8 (4), pp. 400 - 408 (2013)

Balduzzi, D.; Ortega, P.; Besserve, M.: Metabolic cost as an organizing principle for cooperative learning. Advances in Complex Systems 16 (02n03), 1350012, pp. 1 - 18 (2013)

Logothetis, N.; Eschenko, O.; Murayama, Y.; Augath, M.; Steudel, T.; Evrard, H.; Besserve, M.; Oeltermann, A.: Hippocampal-cortical interaction during periods of subcortical silence. Nature 491 (7425), pp. 547 - 553 (2012)

Chavez, M.; Besserve, M.; Le Van Quyen, M.: Dynamics of excitable neural networks with heterogeneous connectivity. Progress in Biophysics and Molecular Biology 105 (1-2), pp. 29 - 33 (2011)

Besserve, M.; Martinerie, J.: Extraction of functional information from ongoing brain electrical activity: Extraction en temps-réel d'informations fonctionnelles à partir de l'activité électrique cérébrale. IRBM 32 (1), pp. 27 - 34 (2011)

Besserve, M.; Schölkopf, B.; Logothetis, N.; Panzeri, S.: Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. Journal of Computational Neuroscience 29 (3), pp. 547 - 566 (2010)

Besserve, M.; Shajarisales, N.; Janzing, D.; Schölkopf, B.: Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations. In: Proceedings of Machine Learning Research (PMLR), Vol. 177, pp. 110 - 143. 1st Conference on Causal Learning and Reasoning (CLeaR 2022), Eureka, CA, USA, April 11, 2022 - April 13, 2022. Curran, Red Hook, NY, USA (2022)

Besserve, M.; Sun, R.; Janzing, D.; Schölkopf, B.: A theory of independent mechanisms for extrapolation in generative models. In: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35, pp. 6741 - 6749. 35th AAAI Conference on Artificial Intelligence: A Virtual Conference, February 02, 2021 - February 09, 2021. (2021)

Besserve, M.; Mehrjou, A.; Sun, R.; Schölkopf, B.: Counterfactuals uncover the modular structure of deep generative models. In: Eighth International Conference on Learning Representations (ICLR 2020). Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia, April 26, 2020 - April 30, 2020. (2020)