Suchergebnisse - "Spiliotis, Konstantinos"

PubPharm (19)

1

Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation

enthalten in: bioRxiv.org | 2024

von Spiliotis, K. | Appali, R. | Fontes Gomes, A. | +5

2

Towards an optimised deep brain stimulation using a large-scale computational network and realistic volume conductor model

enthalten in: Journal of neural engineering | 2024

von Spiliotis, K. | Butenko, K. | Starke, J. | +2

3

Optimal vaccine roll-out strategies including social distancing for pandemics

enthalten in: iScience | 2022

von Spiliotis, K. | Koutsoumaris, C. | Reppas, A. | +3

4

Deep brain stimulation for movement disorder treatment : exploring frequency-dependent efficacy in a computational network model

enthalten in: Biological cybernetics | 2022

von Spiliotis, K. | Starke, J. | Franz, D. | +2

5

Deep brain stimulation for movement disorder treatment: exploring frequency-dependent efficacy in a computational network model

enthalten in: Biological cybernetics | 2021

von Spiliotis, K. | Starke, J. | Franz, D. | +2

6

Deep brain stimulation for movement disorder treatment: exploring frequency-dependent efficacy in a computational network model

enthalten in: Biological cybernetics | 2021

von Spiliotis, K. | Starke, J. | Franz, D. | +2

7

Optimal vaccine roll-out strategies with respect to social distancing measures for SARS-CoV-2 pandemic

enthalten in: arXiv.org | 2021

von Spiliotis, K. | Koutsoumaris, C. | Reppas, A. | +2

8

A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia

enthalten in: arXiv.org | 2021

von Spiliotis, K. | Kahramanoglou, G. | Starke, J. | +2

9

Deep brain stimulation for movement disorder treatment: Exploring frequency-dependent efficacy in a computational network model

enthalten in: arXiv.org | 2020

von Spiliotis, K. | Starke, J. | Franz, D. | +2

10

Coarse-scale PDEs from fine-scale observations via machine learning

enthalten in: Chaos (Woodbury, N.Y.) | 2020

von Lee, S. | Kooshkbaghi, M. | Spiliotis, K. | +2