Mario Senden (M.)
1) Computational Neuroscience of Vision
1a) Visuomotor integration
1b) Linking Empirical and Computational Research
2) Cortical Structure Function Relationship
2a) Resting State Dynamics
2b) Graph Theoretical Analysis
Senden, M., Reuter, N., van den Heuvel, M. P., Goebel, R., & Deco, G. (2017). Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior. Neuroimage, 146, 561–574. https://doi.org/10.1016/j.neuroimage.2016.10.044
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Senden, M., Deco, G., de Reus, M. A., Goebel, R., & van den Heuvel, M. P. (2014). Rich club organization supports a diverse set of functional network configurations. Neuroimage, 96, 174-182. https://doi.org/10.1016/j.neuroimage.2014.03.066
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Deco, G., Senden, M., & Jirsa, V. (2012). How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Frontiers in Computational Neuroscience, 6, Article 68. https://doi.org/10.3389/fncom.2012.00068
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Senden, M., Goebel, R., & Deco, G. (2012). Structural connectivity allows for multi-threading during rest: The structure of the cortex leads to efficient alternation between resting state exploratory behavior and default mode processing. Neuroimage, 60(4), 2274-2284. https://doi.org/10.1016/j.neuroimage.2012.02.061
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Douw, L., van Dellen, E., Gouw, A. A., Griffa, A., de Haan, W., van den Heuvel, M., Hillebrand, A., Van Mieghem, P., Nissen, I. A., Otte, W. M., Reijmer, Y. D., Schoonheim, M. M., Senden, M., van Straaten, E. C. W., Tijms, B. M., Tewarie, P., & Stam, C. J. (2019). The road ahead in clinical network neuroscience. Network neuroscience, 3(4), 969-993. https://doi.org/10.1162/netn_a_00103
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Senden, M., Reithler, J., Gijsen, S., & Goebel, R. (2014). Evaluating population receptive field estimation frameworks in terms of robustness and reproducibility. PLOS ONE, 9(12), Article e114054. https://doi.org/10.1371/journal.pone.0114054
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Senden, M., Emmerling, T., van Hoof, R., Frost, M., & Goebel, R. (2019). Reconstructing imagined letters from early visual cortex reveals tight topographic correspondence between visual mental imagery and perception. Brain Structure & Function, 224(3), 1167-1183. https://doi.org/10.1007/s00429-019-01828-6
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Lange, G., Senden, M., Radermachere, A., & De Weerd, P. (2020). Interfering with a memory without erasing its trace. Neural Networks, 121, 339-355. https://doi.org/10.1016/j.neunet.2019.09.027
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Karimian, M., Dibenedetto, D., Moerel, M., Burwick, T., Westra, R. L., De Weerd, P., & Senden, M. (2019). Effects of synaptic and myelin plasticity on learning in a network of Kuramoto phase oscillators. Chaos, 29(8), Article 083122. https://doi.org/10.1063/1.5092786
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Senden, M., Schuecker, J., Hahne, J., Diesmann, M., & Goebel, R. (2018). [Re] A neural model of the saccade generator in the reticular formation. ReScience C, 4(1), Article 3. https://doi.org/10.5281/zenodo.1241004
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Mario Senden (M.)
Assistant Professor
Vision
Cognitive Neuroscience
Faculty of Psychology and Neuroscience