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Thumb_michel_besserve
Michel Besserve
Dr.
Position: Senior Research Scientist
Room no.: 236
Phone: +49 7071 601 541
Fax: +49 7071 601 552

My project focuses on developing new methodologies for quantifying interactions between neural populations from electrophysiology data.

Sensory systems are typically considered as hierarchically organized feed forward streams, such as the retino-geniculate pathway and its follow-up ventral and dorsal streams that pass information from thalamus to a large number of cortical areas. Yet, connectivity in cortex is strictly bidirectional, and for each pair of interconnected cortical regions there is also a parallel cortical-thalamo-cortical path. At a smaller spatial scale, the neural tissue is locally organized in microcircuits of strongly interconnected populations of inhibitory and excitatory neurons.

Understanding how information is processed in this highly recurrent brain network thus requires a fine quantification of its functional and causal interactions. To achieve this, I develop new statistical analysis techniques for neurophysiology data. In particular, I use information theory and kernel methods to detect dependencies in experimental time series.

For more information, please visit my homepage.


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2014
Posters
  • JF. Ramirez-Villegas, NK. Logothetis, M. Besserve (2014). Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus Computational and Systems Neuroscience Meeting (COSYNE 2014)
2013
Articles
  • F. Laurent, M. Valderrama, M. Besserve, M. Guillard, J-P. Lachaux, J. Martinerie, G. Florence (2013). Multimodal information improves the rapid detection of mental fatigue Biomedical Signal Processing and Control, 8, (4), 400 - 408
Conference Papers
  • M. Besserve, N. Logothetis, B. Schölkopf (2013). Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger, 2535–2543, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
Posters
  • S. Safavi, T. Panagiotaropoulos, V. Kapoor, NK. Logothetis, M. Besserve (2013). Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013)
  • S. Safavi, T. Panagiotaropoulos, V. Kapoor, NK. Logothetis, M. Besserve (2013). Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex Bernstein Conference 2013
  • JF. Ramirez-Villegas, NK. Logothetis, M. Besserve (2013). Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus 4th German Neurophysiology PhD Meeting Networks 2013
Talks
  • NK. Logothetis, O. Eschenko, Y. Murayama, M. Augath, T. Steudel, HC. Evrard, M. Besserve, A. Oeltermann (2013). Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI Keynote Lecture, Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013)
2012
Articles
  • NK. Logothetis, O. Eschenko, Y. Murayama, M. Augath, T. Steudel, HC. Evrard, M. Besserve, A. Oeltermann (2012). Hippocampal-Cortical Interaction during Periods of Subcortical Silence Nature, 491, 547-553
Conference Papers
  • D. Balduzzi, M. Besserve (2012). Towards a learning-theoretic analysis of spike-timing dependent plasticity In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger, Curran Associates Inc., 2465–2473, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
Talks
  • T. Panagiotaropoulos, M. Besserve, NK. Logothetis (2012). Beta oscillations propagate as traveling waves in the macaque prefrontal cortex 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012)
Posters
  • M. Besserve, T. Panagiotaropoulos, B. Crocker, V. Kapoor, A. Tolias, S. Panzeri, NK. Logothetis (2012). Identifying endogenous rhythmic spatio-temporal patterns in micro-electrode array recordings 9th annual Computational and Systems Neuroscience meeting (Cosyne 2012)
  • M. Besserve, A. Bartels, Y. Murayama, NK. Logothetis (2012). Centrality of the Mammalian Functional Brain Network 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012)
2011
Articles
  • M. Besserve, J. Martinerie, L. Garnero (2011). Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view NeuroImage, 55, (4), 1536-1547
  • M. Besserve, J. Martinerie (2011). 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), 27-34
  • M. Chavez, M. Besserve, M. Le Van Quyen (2011). Dynamics of excitable neural networks with heterogeneous connectivity Progress in Biophysics and Molecular Biology, 105, (1-2), 29-33
Posters
  • T. Panagiotaropoulos, M. Besserve, B. Crocker, V. Kapoor, AS. Tolias, S. Panzeri, NK. Logothetis (2011). Spatiotemporal mapping of rhythmic activity in the inferior convexity of the macaque prefrontal cortex 41, (239.15), 41st Annual Meeting of the Society for Neuroscience (Neuroscience 2011)
Conference Papers
  • M. Besserve, D. Janzing, NK. Logothetis, B. Schölkopf (2011). Finding dependencies between frequencies with the kernel cross-spectral density IEEE, Piscataway, NJ, USA, 2080-2083 , ISBN: 978-1-4577-0538-0 , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)
2010
Articles
  • M. Besserve, B. Schölkopf, NK. Logothetis, S. Panzeri (2010). Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis Journal of Computational Neuroscience, 29, (3), 547-566
Posters
  • M. Besserve, Y. Murayama, B. Schölkopf, NK. Logothetis, S. Panzeri (2010). High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex 40, (616.2), 40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010)