| Where is the error? Hierarchical predictive coding through dendritic error computation FA Mikulasch, L Rudelt, M Wibral, V Priesemann Trends in Neurosciences 46 (1), 45-59, 2023 | 89* | 2023 |
| Local dendritic balance enables learning of efficient representations in networks of spiking neurons FA Mikulasch, L Rudelt, V Priesemann Proceedings of the National Academy of Sciences 118 (50), e2021925118, 2021 | 31 | 2021 |
| Presynaptic activity and protein turnover are correlated at the single-synapse level S Jähne, FA Mikulasch, HGH Heuer, S Truckenbrodt, P Agüi-Gonzalez, ... Cell Reports 34 (11), 108841, 2021 | 30 | 2021 |
| Sparse coding predicts optic flow specificities of zebrafish pretectal neurons GA Ecke, SA Bruijns, J Hölscher, FA Mikulasch, T Witschel, AB Arrenberg, ... Neural Computing and Applications 32 (11), 6745-6754, 2020 | 7 | 2020 |
| Visuomotor mismatch responses as a hallmark of explaining away in causal inference FA Mikulasch, L Rudelt, V Priesemann Neural computation 35 (1), 27-37, 2022 | 6 | 2022 |
| Power-law adaptation in the presynaptic vesicle cycle FA Mikulasch, SV Georgiev, L Rudelt, S Rizzoli, V Priesemann bioRxiv, 2024.07. 19.604253, 2024 | | 2024 |
| A theory of inference and learning in cortex with spiking neurons and dendritic error computation FA Mikulasch | | 2023 |
| Prediction mismatch responses arise as corrections of a predictive spiking code K van Driel, L Rudelt, V Priesemann, FA Mikulasch bioRxiv, 2023.11. 16.567335, 2023 | | 2023 |
