Speakers for Thursday the 19th of April
Martijn van den Heuvel
Martijn van den Heuvel works at the Neuroimaging Research Group at University Medical Center Utrecht. His work on the relationship between network connections and intellectual ability was widely publicized.
van den Heuvel, M. P., Stam, C. J., Kahn, R. S. & Hulshoff Pol, H. E. (2009). Efficiency of functional brain networks and intellectual performance. Journal of Neuroscience, 29, 7619 –7624. Link
Alard Roebroeck works at the department of Psychology and Neuroscience at Maastricht University. His expertise is the development and use of Granger causality for neuroimaging data.
Roebroeck, A., Formisano, E. & Goebel, R. (2005). Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage, 25, 230-42. Link
Lourens Waldorp is assistant professor at the department of psychological methods at the University of Amsterdam. His research concerns statistical hypothesis testing, especially in the neurosciences. Recent work includes the development and analysis of networks using Ancestral graphs.
Waldorp, L.J., Christoffels, I.K., and van de Ven, V. (2011) Effective connectivity of fMRI data using ancestral graph theory: Dealing with missing regions. Neuroimage, 54, 2695 - 2705. Link
Anil Seth is Reader at the School of Informatics, University of Sussex, and Co-Director of the Sackler Centre for Consciousness Science (SCCS) at the University of Sussex. His work focuses on various field, including consciousness research, statistical methodology and artificial intelligence. Recently, he has explored the idea of causal density as a metric of consciousness.
Bressler, S., and Seth, A.K. (2011). Wiener-Granger causality: A well established methodology. Neuroimage, 58, 323-329. Link
Jean Daunizeau works at the Laboratory for Social and Neural Systems Research (SNS lab), in Zurich, Switzerland. His work focuses on how the brain implements perception, learning and decision making, both from a neurobiological and a computational (or algorithmic) perspective.
Daunizeau, J. David, O. & Stephan, K. E. (2010). Dynamic Causal Modelling: a critical review of the biophysical and statistical foundations. Neuroimage, 58, 312-322. Link
Speakers for Friday the 20th of April
Nikolai Axmacher works at the Klinik für Epileptologie at the Universität Bonn. His work focuses on a variety of fields, including neurocognitive processes during encoding, maintenance and consolidation of memory. He has also done work regarding long-range connectivity measures in intracranial EEG research.
Fell, J. & Axmacher, N. (2011). The role of phase synchronization in memory processes. Nature Reviews Neuroscience, 12, 105-118. Link
Tobias Donner is an Assistant Professor in Brain and Cognition at the Psychology Department of the University of Amsterdam. His research focuses on how neural dynamics in the brain give rise to cognitive acts such as vaccilating, making a choice, or changing your mind.
Donner, T. H. & Siegel M. (2011). A Framework for Local Cortical Oscillation Patterns. Trends in Cognitive Sciences, 15, 191-199. Link
Germán Gómez-Herrero works at the Netherlands Institute of Neurosicence (NIN). His research focuses on machine learning, pattern recognition, data mining, multivariate signal analysis and biomedical signal processing.
Gómez-Herreroa, G., Atienzab, M., Egiazariana, K. & Cantero, J. L. (2008). Measuring directional coupling between EEG sources. Neuroimage, 43, 497-508. Link
Matias Palva is Project Leader at the Neuroscience Center of the University of Helsinki. His research focuses on systems-level mechanisms of perception, cognition, and action in the human brain.
Palva, J. M., Monto, S., Kulashekhar, S., Palva, S. (2010). Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proceedings of the National Academy of Sciences, 107, 7580-7585. Link
Mike X. Cohen
Mike X. Cohen is Principal Investigator at the Brain and Cognition department at the University of Amsterdam. Research in his group focuses on the oscillatory mechanisms by which the medial frontal cortex engages top-down control strategies to facilitate flexible behavior adaptation during conflict and learning.
Sample publicationCohen, M. X.(2011). It's about Time. Frontiers in Human Neuroscience, 5, 2. Link