Matthijs Pals

Postdoc, Theoretical Neuroscience, Zentralinstitut für Seelische Gesundheit

Joined

October 2023

Names

Matthijs Pals (Preferred)

Emails

****@uni-tuebingen.de (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

Theoretical Neuroscience, Zentralinstitut für Seelische Gesundheit (zi-mannheim.de)

2026 – 2028

PhD student

Excellence Cluster Machine Learning, Eberhard-Karls-Universität Tübingen (uni-tuebingen.de)

2021 – 2025

MS student

Faculty of Electrical Engineering, Technische Universität München (tum.de)

2019 – 2021

Undergrad student

Faculty of Science and Engineering, University of Groningen (rug.nl)

2014 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Jakob Macke

2021 – Present

Coauthor

Omri Barak

2021 – Present

Postdoc Advisor

Daniel Durstewitz

2026 – 2028

Expertise

RNNs

neural dynamics

Present

Publications

Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks
Stefanie Liebe, Johannes Niediek, Matthijs Pals, Jakob H. Macke, Florian Mormann
- Nature Neuroscience
- Readers: Everyone
Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks
Johannes Niediek, Matthijs Pals, Stefanie Liebe, Jakob H. Macke, Florian Mormann
- Nature Neuroscience
- Readers: Everyone
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals, A Erdem Sağtekin, Felix C Pei, Manuel Gloeckler, Jakob H. Macke
- NeurIPS 2024 poster
- Readers: Everyone
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Gloeckler, Lisa Haxel, Jaivardhan Kapoor, Janne K Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix C Pei, Rachel Rapp, A Erdem Sağtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer et al. (1 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
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
- Readers: Everyone
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Glöckler, Jakob H. Macke
- CoRR 2024
- Readers: Everyone
sbi reloaded: a toolkit for simulation-based inference workflows
Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao et al. (13 additional authors not shown)
- CoRR 2024
- Readers: Everyone
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
- Readers: Everyone
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
- Readers: Everyone

Co-Authors

View all 55 co-authors