Publikationen von M Besserve

Konferenzbeitrag (9)

21.
Konferenzbeitrag
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, S. 285 - 294 (Hg. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)
22.
Konferenzbeitrag
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, S. 2535 - 2543 (Hg. 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.
Konferenzbeitrag
Balduzzi, D.; Besserve, M.: Towards a learning-theoretic analysis of spike-timing dependent plasticity. In: Advances in Neural Information Processing Systems 25, S. 2465 - 2473 (Hg. 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, 03. Dezember 2012 - 06. Dezember 2012. Curran, Red Hook, NY, USA (2013)
24.
Konferenzbeitrag
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), S. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, 22. Mai 2011 - 27. Mai 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, 12. November 2016 - 16. November 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, S. 53 (Hg. Pezaris, J.; Hatsopoulos, N.). AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece, 22. Juni 2016 - 26. Juni 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)

Vortrag (8)

29.
Vortrag
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.
Vortrag
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.
Vortrag
Besserve, M.: Machine Learning and Neuroscience. Machine Learning Summer School 2019, Moskva, Russia (2019)
32.
Vortrag
Besserve, M.: Machine Learning and Neuroscience: Part 2. Machine Learning Summer School 2019, Moskva, Russia (2019)
33.
Vortrag
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.
Vortrag
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.
Vortrag
Besserve, M.; Safavi, S.: Practical on Machine Learning for Neuroscience. Machine Learning Summer School (MLSS 2016), Cádiz, Spain (2016)
36.
Vortrag
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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