Mario Senden (M.)
Research profile
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
Key publications
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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.2016.10.044More information about this publication
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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.2014.03.066More information about this publication
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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(SEPTEMBER), Article 68. https://doi.org/10.3389/fncom.2012.00068More information about this publication
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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.2012.02.061More information about this publication
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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_00103More information about this publication
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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.0114054More information about this publication
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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/s00429-019-01828-6More information about this publication
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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.2019.09.027More information about this publication
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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/10.1063/1.5092786More information about this publication
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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.1241004More information about this publication