output
20172021
most citedFlexible statistical inference for mechanistic models of neural dynamics

96 citations

7 papers

cond-mat.mtrl-sci2021★ 3 cited

Electron energy-loss spectroscopy on freestanding perforated gold films

M. Prämassing, T. Kiel, S. Irsen +2

We report on a combined far- and near-field study of surface plasmon polaritons on freestanding perforated gold films. The samples are fabricated by focused ion beam milling of {a…

stat.ML2021★ 21 cited

Benchmarking Simulation-Based Inference

Jan-Matthis Lueckmann, Jan Boelts, David S. Greenberg +2

Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require numerical evaluation of likelihoods. However, a…

cs.LG2019★ 74 cited

Automatic Posterior Transformation for Likelihood-Free Inference

David S. Greenberg, Marcel Nonnenmacher, Jakob H. Macke

How can one perform Bayesian inference on stochastic simulators with intractable likelihoods? A recent approach is to learn the posterior from adaptively proposed simulations using…

physics.optics2019★ 13 cited

Freestanding metasurfaces for optical frequencies

M. Prämassing, T. Leuteritz, A. Faßbender +3

We present freestanding metasurfaces operating at optical frequencies with a total thickness of only 40nm. The metasurfaces are fabricated by focused ion beam milling of nanovo…

stat.ML2017★ 96 cited

Flexible statistical inference for mechanistic models of neural dynamics

Jan-Matthis Lueckmann, Pedro J. Goncalves, Giacomo Bassetto +3

Mechanistic models of single-neuron dynamics have been extensively studied in computational neuroscience. However, identifying which models can quantitatively reproduce empirically…

stat.ML2017★ 9 cited

Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations

Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke

A powerful approach for understanding neural population dynamics is to extract low-dimensional trajectories from population recordings using dimensionality reduction methods. Curre…