Jonathan Oesterle
Jonathan Oesterle
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Zitiert von
Zitiert von
Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics
J Oesterle, C Behrens, C Schröder, T Hermann, T Euler, K Franke, ...
Elife 9, e54997, 2020
Systemic frequency biases in ring oscillator pufs on fpgas
L Feiten, J Oesterle, T Martin, M Sauer, B Becker
IEEE Transactions on Multi-Scale Computing Systems 2 (3), 174-185, 2016
Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retina
L Höfling, J Oesterle, P Berens, G Zeck
Scientific reports 10 (1), 5248, 2020
Distinct synaptic transfer functions in same-type photoreceptors
C Schroeder, J Oesterle, P Berens, T Yoshimatsu, T Baden
Elife 10, e67851, 2021
Estimating smooth and sparse neural receptive fields with a flexible spline basis
Z Huang, Y Ran, J Oesterle, T Euler, P Berens
arXiv preprint arXiv:2108.07537, 2021
Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models
J Oesterle, N Krämer, P Hennig, P Berens
Journal of Computational Neuroscience 50 (4), 485-503, 2022
Neuromodulation of retinal bipolar cell glutamate signaling by nitric oxide and endocannabinoids
T Schwerd-Kleine, D Gonschorek, J Oesterle, Z Zhao, T Schubert, T Euler
Investigative Ophthalmology & Visual Science 64 (8), 2871-2871, 2023
Regional difference in dendritic signal processing in mouse sON alpha retinal ganglion cells
J Oesterle, Y Ran, T Schubert, P Berens, T Euler
Investigative Ophthalmology & Visual Science 64 (8), 4383-4383, 2023
Nitric oxide mediates differential effects in mouse retinal ganglion cells
D Gonschorek, T Schwerd-Kleine, J Oesterle, Z Zhao, T Schubert, T Euler
Investigative Ophthalmology & Visual Science 64 (8), 26-26, 2023
Parametric and numerical uncertainty in mechanistic neuron models
J Oesterle
Tübingen, 2023
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