Synaptic plasticity as Bayesian inference L Aitchison, J Jegminat, JA Menendez, JP Pfister, A Pouget, PE Latham Nature neuroscience 24 (4), 565-571, 2021 | 71 | 2021 |
Soil solution phosphorus turnover: derivation, interpretation, and insights from a global compilation of isotope exchange kinetic studies J Helfenstein, J Jegminat, TI McLaren, E Frossard Biogeosciences 15 (1), 105-114, 2018 | 56 | 2018 |
Constrained basin stability for studying transient phenomena in dynamical systems A van Kan, J Jegminat, JF Donges, J Kurths Physical Review E 93 (4), 042205, 2016 | 30 | 2016 |
Bayesian regression explains how human participants handle parameter uncertainty J Jegminat, MA Jastrzębowska, MV Pachai, MH Herzog, JP Pfister PLoS computational biology 16 (5), e1007886, 2020 | 9 | 2020 |
Learning as filtering: Implications for spike-based plasticity J Jegminat, SC Surace, JP Pfister PLoS computational biology 18 (2), e1009721, 2022 | 5 | 2022 |
Correction: Bayesian regression explains how human participants handle parameter uncertainty J Jegminat, MA Jastrzębowska, MV Pachai, MH Herzog, JP Pfister PLOS Computational Biology 18 (3), e1009932, 2022 | | 2022 |
Bayesian regression explains how human participants handle parameter uncertainty (vol 16, e1007886, 2020) J Jegminat, MA Jastrzebowska, MV Pachai, MH Herzog, JP Pfister PLOS COMPUTATIONAL BIOLOGY 18 (3), 2022 | | 2022 |
Estimating nonlinear stability from time series data A van Kan, J Jegminat, J Donges arXiv preprint arXiv:2112.03260, 2021 | | 2021 |
Learning and Prediction Under Parameter Uncertainty: With Applications in Psychophysics and Synaptic Plasticity J Jegminat Universität Zürich, 2020 | | 2020 |
The turnover of phosphorus in the soil solution J Helfenstein, J Jegminat, T McLaren, E Frossard EGU General Assembly Conference Abstracts, 6496, 2018 | | 2018 |