Publikationen von Richard Gast

Gast, R.; Knösche, T. R.; Schmidt, H.: Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity. Physical Review E 104, 044310 (2021)

Gast, R.; Gong, R.; Schmidt, H.; Meijer, H. G.E.; Knösche, T. R.: On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience 41 (31), S. 6673 - 6683 (2021)

Gong, R.; Wegscheider, M.; Mühlberg, C.; Gast, R.; Fricke, C.; Rumpf, J.-J.; Nikulin, V. V.; Knösche, T. R.; Classen, J.: Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain 144 (2), S. 487 - 503 (2021)

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), S. 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.; Gong, R.; Schmidt, H.; Meijer, H. G. E.; Knösche, T. R.: On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia. In Journal of Computational Neuroscience, 49 (Suppl. 1), O14. Kluwer Academic Publishers, Boston (2021)

Chien, V. S. C.; Gast, R.; Maess, B.; Knösche, T. R.: Representing predictability of sequence patterns in a random network with short-term plasticity. In BMC Neuroscience, 21 (Suppl. 1), P101. BioMed Central (2020)

Gast, R.: Low-dimensional dynamics of spiking neural networks with short-term plasticity. 30th Annual Computational Neuroscience Meeting (CNS), Virtual (2021)

Gast, R.: On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia. 30th Annual Computational Neuroscience Meeting (CNS), Virtual (2021)

Gast, R.: Approaches to mean-field modeling of neural dynamics: A practical introduction via the neural modeling tool PyRates. 9th International Summer School in Biomedical Engineering, Erfurt, Germany (2020)

Gast, R.: Bursting dynamics in spiking neural networks. Dynamics Days Digital 2020, Virtual (2020)

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.; Gong, R.; Schmidt, H.; Meijer, H. G. E.; Knösche, T. R.: On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia. 30th Annual Computational Neuroscience Meeting (CNS), Virtual (2021)

Gong, R.; Wegscheider, M.; Mühlberg, C.; Gast, R.; Fricke, C.; Rumpf, J.-J.; Nikulin, V. V.; Knösche, T. R.; Classen, J.: Increased phase-amplitude coupling in Parkinson’s disease: Evidence from source localized electroencephalography. 7th International Conference on Non-invasive Brain Stimulation, Virtual (2020)

Gast, R.; Schmidt, H.; Knösche, T. R.: Dynamic regimes of spiking neural networks with short-term adaptation: Phase transitions of low-dimensional manifolds between asynchronous, synchronized and chaotic regimes. Bernstein Conference 2020, Virtual (2020)

Chien, V. S. C.; Gast, R.; Maess, B.; Knösche, T. R.: Representing predictability of sequence patterns in a random network with short-term plasticity. 29th Annual Computational Neuroscience Meeting (CNS), Virtual (2020)

Gast, R.; Schmidt, H.; Knösche, T. R.: The role of pallidal heterogeneity for oscillations inside the basal ganglia. 2020 International Conference on Mathematical Neuroscience, Virtual (2020)