Publications of Richard Gast

Gast, R., Knösche, T. R., & Schmidt, H. (2021). Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity. Physical Review E, 104. doi:10.1103/PhysRevE.104.044310

Gast, R., Gong, R., Schmidt, H., Meijer, H. G. E., & Knösche, T. R. (2021). On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience, 41, 6673–6683.

Gong, R., Wegscheider, M., Mühlberg, C., Gast, R., Fricke, C., Rumpf, J.-J., … Classen, J. (2021). Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain, 144, 487–503.

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

Weise, K., Poßner, L., Müller, E., Gast, R., & Knösche, T. R. (2020). Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX, 11. doi:10.1016/j.softx.2020.100450

Finger, H., Gast, R., Gerloff, C., Engel, A. K., & König, P. (2019). Probing neural networks for dynamic switches of communication pathways. PLoS Computational Biology, 15. doi:10.1371/journal.pcbi.1007551

Gast, R., Rose, D., Möller, H. E., Weiskopf, N., & Knösche, T. R. (2019). PyRates - A Python framework for rate-based neural simulations. PLOS One, 14. doi:10.1371/journal.pone.0225900

Sütfeld, L. R., Gast, R., König, P., & Pipa, G. (2018). 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. doi:10.3389/fnbeh.2018.00128

Gast, R., Weise, K., Rose, D., & Knösche, T. R. Design and sensitivity analysis of neural models (using PyRates and pygpc). Talk_at_event presented at the 28th Annual Computational Neuroscience Meeting (CNS), Barcelona, Spain. Retrieved from http://hdl.handle.net/21.11116/0000-0004-BB3E-5

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. Poster presented at the 28th Annual Computational Neuroscience Meeting, CNS*2019, Barcelona, Spain. Retrieved from http://hdl.handle.net/21.11116/0000-0004-BC54-A

Gast, R., Rose, D., Möller, H. E., Weiskopf, N., & Knösche, T. R. PyRates: A Python framework for rate-based neural simulations. Poster presented at the 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. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C46E-4

Gast, R., Knösche, T. R., Rose, D., Möller, H. E., & Weiskopf, N. PyRates: A Python framework for rate-based neural simulations. Poster presented at the 27th Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C43D-B