A. Granier, K.A. Wilmes, M.A. Petrovici, W. Senn (2025) Building functional and mechanistic models of cortical computation based on canonical cell type connectivity. arXiv. doi: https://doi.org/10.48550/arXiv.2504.03031
L. Hertäg, K.A. Wilmes, C. Clopath (2025). Uncertainty estimation with prediction-error circuits. Nature Communications. doi: https://doi.org/10.1038/s41467-025-58311-6
A. Granier, M.A. Petrovici, W. Senn* and K.A. Wilmes* (2024). Confidence and second-order errors in cortical circuits. PNAS Nexus. doi: https://doi.org/10.1093/pnasnexus/pgae404.
S. Brandt, M.A. Petrovici, W. Senn, K.A. Wilmes* and F. Benitez* (2024). Prospective and retrospective coding in cortical neurons. arXiv. doi: https://doi.org/10.48550/arXiv.2405.14810.
K.A. Wilmes, M.A. Petrovici, S. Sachidhanandam, and W. Senn (2024). Uncertainty-modulated prediction errors in cortical microcircuits. eLife .doi: https://doi.org/10.7554/eLife.95127.3
D. Myers-Joseph, K.A. Wilmes, M. Fernandez-Otero, C. Clopath, A. Khan (2022). Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex. Neuron. doi: https://doi.org/10.1016/j.neuron.2023.11.006
K.A. Wilmes and C. Clopath (2023). Dendrites help mitigate the plasticity-stability dilemma. Scientific Reports. 13, 6543. https://doi.org/10.1038/s41598-023-32410-0.
J. Poort, K.A. Wilmes, A. Blot, A. Chadwick, M. Sahani, C. Clopath, T. Mrsic-Flogel, S. Hofer, A. Khan (2022). Learning and attention increase neuronal response selectivity through distinct mechanisms. Neuron, 110(4), 686–697.e6. https://doi.org/10.1016/j.neuron.2021.11.016. Simulation Code.
L.Y. Prince, E. Boven, R. Eyono, A. Ghosh, J. Pemberton, F. Scherr, C. Clopath, R.P. Costa, W. Maass, B.A. Richards, C. Savin, and K.A. Wilmes (2021). CCN GAC Workshop: Issues with learning in biological recurrent neural networks. arXiv:2105.05382.
K.A. Wilmes and C. Clopath (2019). Inhibitory microcircuits for top-down plasticity of sensory representations. Nature Communications. 10:5055. doi:10.1038/s41467-019-12972-2. Simulation Code.
J. Bono, K.A. Wilmes and C. Clopath (2017). Modelling plasticity in dendrites: from single cells to networks. Current Opinion in Neurobiology. 46:136-141.
K.A. Wilmes, J.-H. Schleimer and S. Schreiber (2016). Spike-timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials. European Journal of Neuroscience. doi: 10.1111/ejn.13326. Simulation Code.
K.A.Wilmes, H. Sprekeler* and S. Schreiber* (2016) Inhibition as a binary switch for excitatory plasticity in pyramidal neurons. PLoS Computational Biology. 12(3): e1004768. doi: 10.1371/journal.pcbi.1004768. Simulation Code.
J.T. Springenberg, K.A. Wilmes, and J. Boedecker (2016) Towards local learning and MCMC inference in biologically plausible deep generative networks. In NIPS Workshop Brains and Bits: Neuroscience Meets Machine Learning.
M.X. Cohen; K.A.Wilmes and I. van de Vijver (2011). Cortical electrophysiological network dynamics of feedback learning. Trends in Cognitive Sciences. 15(12):558–566.
C. Ebert, S. Evert and K. Wilmes (2011). Focus marking via gestures. Proceedings of Sinn und Bedeutung 15, Universität des Saarlandes, Saarbrücken.
*senior co-authorship
Simulation Code
Learning and attention increase neuronal response selectivity through distinct mechanisms.
Inhibitory microcircuits for top-down plasticity of sensory representations.
Spike-timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials.
Inhibition as a binary switch for excitatory plasticity in pyramidal neurons.
Katharina A. Wilmes 