Publications of M Besserve

Conference Paper (9)

21.
Conference Paper
Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, pp. 285 - 294 (Eds. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)
22.
Conference Paper
Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, pp. 2535 - 2543 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)
23.
Conference Paper
Balduzzi, D.; Besserve, M.: Towards a learning-theoretic analysis of spike-timing dependent plasticity. In: Advances in Neural Information Processing Systems 25, pp. 2465 - 2473 (Eds. Bartlett, P.; Pereira, F.; Bottou, L.; Burges, C.; Weinberger, K.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada, USA, December 03, 2012 - December 06, 2012. Curran, Red Hook, NY, USA (2013)
24.
Conference Paper
Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pp. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, May 22, 2011 - May 27, 2011. IEEE, Piscataway, NJ, USA (2011)

Meeting Abstract (4)

25.
Meeting Abstract
Logothetis, N.; Murayama, Y.; Ramirez-Villegas, J.; Besserve, M.; Evrard, H.: PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation. In 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 670.12. 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA, November 12, 2016 - November 16, 2016. (2016)
26.
Meeting Abstract
Safavi, S.; Dwarakanath, A.; Besserve, M.; Kapoor, V.; Logothetis, N.; Panagiotaropoulos, T.: A Non-Monotonic Correlation Structure in the Macaque Ventrolateral Prefrontal Cortex. In AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, p. 53 (Eds. Pezaris, J.; Hatsopoulos, N.). AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece, June 22, 2016 - June 26, 2016. The AREADNE Foundation, Cambridge, MA, USA (2016)
27.
Meeting Abstract
Besserve, M.; Schölkopf, B.; Logothetis, N. K.: Unsupervised identification of neural events in local field potentials. In 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), 20.12. 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA. (2014)
28.
Meeting Abstract
Panagiotaropoulos, T.; Besserve, M.; Logothetis, N.: Beta oscillations propagate as traveling waves in the macaque prefrontal cortex. In 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), 413.03. 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), New Orleans, LA, USA. (2012)

Talk (8)

29.
Talk
Safavi, S.; Logothetis, N.; Besserve, M.: Multivariate coupling estimation between continuous signals and point processes. NeurIPS 2019 Workshop: Learning with Temporal Point Processes, Vancouver, Canada (2019)
30.
Talk
Besserve, M.: Can we help the brain rewire itself? Hints from the functions and mechanisms acting during sleep. Data, Learning and Inference (DALI 2019), San Sebastian, Spain (2019)
31.
Talk
Besserve, M.: Machine Learning and Neuroscience. Machine Learning Summer School 2019, Moskva, Russia (2019)
32.
Talk
Besserve, M.: Machine Learning and Neuroscience: Part 2. Machine Learning Summer School 2019, Moskva, Russia (2019)
33.
Talk
Logothetis, N.; Eschenko, O.; Besserve, M.; Murayama, Y.; Evrard, H.; Ramirez-Villegas, J.: Concurrent multisite recordings and brain imaging: a study of events related system and synaptic memory consolidation. AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece (2018)
34.
Talk
Besserve, M.; Heinze-Deml, C.: Uncovering the structure of complex data: progresses in machine learning and causal inference. Data Learning and Inference (DALI 2017), Tenerife, Spain (2017)
35.
Talk
Besserve, M.; Safavi, S.: Practical on Machine Learning for Neuroscience. Machine Learning Summer School (MLSS 2016), Cádiz, Spain (2016)
36.
Talk
Logothetis, N.; Eschenko, O.; Murayama, Y.; Augath, M.; Steudel, T.; Evrard, H.; Besserve, M.; Oeltermann, A.: Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI. Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), Paris, France (2013)

Poster (24)

37.
Poster
Safavi, S.; Panagiotaropoulos, T.; Kapoor, V.; Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling. Bernstein Conference 2021 (2021)
38.
Poster
Shao, K.; Logothetis, N.; Besserve, M.: Estimation of Spontaneous Transient Dynamics based on Peri-event Data. Bernstein Conference 2021 (2021)
39.
Poster
Safavi, S.; Panagiotaropoulos, F.; Kapoor, V.; Ramirez-Villegas, J.; Logothetis, N.; Besserve, M.: Uncovering the organization of neural circuits with generalized phase-locking analysis. Computational and Systems Neuroscience Meeting (COSYNE 2020) , Denver, CO, USA (2020)
40.
Poster
Shao, K.; Logothetis, N.; Besserve, M.: Neural mass modeling of the Ponto-Geniculo-Occipital wave and its neuromodulation. 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)
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