Evers, K., Peters, J., & Senden, M. (2021). Cortical synchrony as a mechanism of collinear facilitation and suppression in early visual cortex. Frontiers in Systems Neuroscience, 73.

Rosenke, M., van Hoof, R., van den Hurk, J., Grill-Spector, K., & Goebel, R. (2021). A probabilistic functional atlas of human Occipito-Temporal visual cortex. Cerebral Cortex, 31(1), 603-619.

Senden, M., Peters, J., Röhrbein, F., Deco, G., & Goebel, R. (2020). The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment. Frontiers in Computational Neuroscience, 14.

Lage-Castellanos, A., Valente, G., Senden, M., & De Martino, F. (2020). Investigating the Reliability of Population Receptive Field Size Estimates Using fMRI. Frontiers in Neuroscience, 14, 825.

Kroner, A., Senden, M., Driessens, K., & Goebel, R. (2020). Contextual encoder-decoder network for visual saliency prediction. Neural Networks. ; Github Repository

Lange, G., Senden, M., Radermacher, A., & De Weerd, P. (2020). Interfering with a memory without erasing its trace. Neural Networks, 121, 339–355.

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.

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.

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.

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.

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.

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.

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.

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.

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.


Weidler, T., Lehnen, J., Denman, Q., Sebők, D., Weiss, G., Driessens, K., & Senden, M. (2021). Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. arXiv preprint arXiv:2105.09830.

Salil Bhat, Michael Lührs, Rainer Goebel, Mario Senden. Extremely Fast pRF Mapping for Real-Time Applications bioRxiv 2021.03.24.436795

Gnolo, C., Senden, M., Grillini, A., Cornelissen, F. W., & Goebel, R. (2018).Configural properties underlie the perceived faceness of a stimulus. bioRxiv, 509026.

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.