Publications

Lange, G., Senden, M., Radermacher, 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

Gilson, M., Zamora-López, G., Pallarés, V., Adhikari, M. H., Senden, M., Tauste Campo, A., … Insabato, A. (2019). Model-based whole-brain effective connectivity to study distributed cognition in health and disease. Network Neuroscience, 1–62. https://doi.org/10.1162/netn_a_00117

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: An Interdisciplinary Journal of Nonlinear Science, 29(8), 083122. https://doi.org/10.1063/1.5092786

Bornet, A., Kaiser, J.,Kroner, A., Falotico, E., Ambrosano, A., Cantero, K., Herzog, M. H., & Francis, G. (2019). Running large-scale simulations on the Neurorobotics Platform to understand vision - the case of visual crowding. Frontiers in Neurorobotics, 13, 33. https://doi.org/10.3389/fnbot.2019.00033

Senden, M., Emmerling, T. C., van Hoof, R., Frost, M. A., & Goebel, R. (2019). Reconstructing imagined letters from early visual cortex reveals tight topographic correspondence between visual mental imagery and perception. Brain Structure and Function, 224(3), 1167–1183. https://doi.org/10.1007/s00429-019-01828-6

Senden, M., Schuecker, J., Hahne, J., Diesmann, M., & Goebel, R. (2018). [Re] A neural model of the saccade generator in the reticular formation. ReScience, 4(1), 3. https://doi.org/10.5281/ZENODO.1241004

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

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

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, 68. https://doi.org/10.3389/fncom.2012.00068

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


Preprints

Kroner, A., Senden, M., Driessens, K., & Goebel, R. (2019). Contextual Encoder-Decoder Network for Visual Saliency Prediction. https://arxiv.org/abs/1902.06634; Github Repository

Gnolo, C., Senden, M., Grillini, A., Cornelissen, F. W., & Goebel, R. (2018).Configural properties underlie the perceived faceness of a stimulus. bioRxiv, 509026. https://www.biorxiv.org/content/10.1101/509026v1.abstract

Stulz, S. B., Insabato, A., Deco, G., Gilson, M., & Senden, M. (2018). Comparing Task-Relevant Information Across Different Methods of Extracting Functional Connectivity. bioRxiv, 509059. https://www.biorxiv.org/content/10.1101/509059v1.abstract