
Publications of Richard Gast
All genres
Journal Article (8)
2021
Journal Article
104, 044310 (2021)
Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity. Physical Review E
Journal Article
41 (31), pp. 6673 - 6683 (2021)
On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience
Journal Article
144 (2), pp. 487 - 503 (2021)
Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain 2020
Journal Article
32 (9), pp. 1615 - 1634 (2020)
A mean-field description of bursting dynamics in spiking neural networks with short-term adaptation. Neural Computation
Journal Article
11, 100450 (2020)
Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX 2019
Journal Article
15 (12), e1007551 (2019)
Probing neural networks for dynamic switches of communication pathways. PLoS Computational Biology
Journal Article
14 (12), e0225900 (2019)
PyRates - A Python framework for rate-based neural simulations. PLOS One 2018
Journal Article
12, 128 (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 Talk (1)
2019
Talk
Design and sensitivity analysis of neural models (using PyRates and pygpc). 28th Annual Computational Neuroscience Meeting (CNS), Barcelona, Spain (2019)
Poster (3)
2019
Poster
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)
Poster
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)
2018
Poster
PyRates: A Python framework for rate-based neural simulations. 27th Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA (2018)