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Gast, R.; Schmidt, H.; Knösche, T. R.: A mean-field description of bursting dynamics in spiking neural networks with short-term adaptation. Neural Computation 32 (9), pp. 1615 - 1634 (2020)

Weise, K.; Poßner, L.; Müller, E.; Gast, R.; Knösche, T. R.: Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX 11, 100450 (2020)

Finger, H.; Gast, R.; Gerloff, C.; Engel, A. K.; König, P.: Probing neural networks for dynamic switches of communication pathways. PLoS Computational Biology 15 (12), e1007551 (2019)

Gast, R.; Rose, D.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: PyRates - A Python framework for rate-based neural simulations. PLOS One 14 (12), e0225900 (2019)

Sütfeld, L. R.; Gast, R.; König, P.; Pipa, G.: Response: Commentary: Using virtual reality to assess ethical decisions in road traffic scenarios: Applicability of value-of-life-based models and influences of time pressure. Frontiers in Behavioral Neuroscience 12, 128 (2018)

Gast, R.; Weise, K.; Rose, D.; Knösche, T. R.: Design and sensitivity analysis of neural models (using PyRates and pygpc). 28th Annual Computational Neuroscience Meeting (CNS), Barcelona, Spain (2019)

Gast, R.; Schmidt, H.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: From damped oscillations to synchronous bursting: Describing the effects of synaptic depres-sion on the collective behavior of spiking neurons. 28th Annual Computational Neuroscience Meeting, CNS*2019, Barcelona, Spain (2019)

Gast, R.; Rose, D.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: PyRates: A Python framework for rate-based neural simulations. Brain-In-Depth (BID) 2019, International Symposium on layer-dependent MRI: Modeling Cortical Microstructure, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2019)

Gast, R.; Knösche, T. R.; Rose, D.; Möller, H. E.; Weiskopf, N.: PyRates: A Python framework for rate-based neural simulations. 27th Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA (2018)