A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity. - Matthijs Pals; Terrence C. Stewart; Elkan G. Akyürek; Jelmer P. Borst (PLoS Comput. Biol., 2020)

Demonstrating the Viability of Mapping Deep Learning Based EEG Decoders to Spiking Networks on Low-powered Neuromorphic Chips. - Matthijs Pals; Rafael J. Pérez Belizón; Nicolas Berberich; Stefan K. Ehrlich; John Nassour; Gordon Cheng (EMBC, 2021)

Inferring stochastic low-rank recurrent neural networks from neural data. - Matthijs Pals; A Erdem Sagtekin; Felix Pei; Manuel Glöckler; Jakob H. Macke (NeurIPS, 2024)

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (CoRR, 2024)

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science. - Sebastian Bischoff 001; Alana Darcher; Michael Deistler; Richard Gao; Franziska Gerken; Manuel Glöckler; Lisa Haxel; Jaivardhan Kapoor; Janne K. Lappalainen; Jakob H. Macke; Guy Moss 001; Matthijs Pals; et al. (Trans. Mach. Learn. Res., 2024)

Trained recurrent neural networks develop phase-locked limit cycles in a working memory task. - Matthijs Pals; Jakob H. Macke; Omri Barak (PLoS Comput. Biol., 2024)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)