Andreas Spiegler
Andreas Spiegler
Carl von Ossietzky University of Oldenburg
Verified email at - Homepage
Cited by
Cited by
Functional connectivity dynamics: modeling the switching behavior of the resting state
ECA Hansen, D Battaglia, A Spiegler, G Deco, VK Jirsa
Neuroimage 105, 525-535, 2015
Mathematical framework for large-scale brain network modeling in The Virtual Brain
P Sanz-Leon, SA Knock, A Spiegler, VK Jirsa
Neuroimage 111, 385-430, 2015
Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study
T Kunze, A Hunold, J Haueisen, V Jirsa, A Spiegler
Neuroimage 140, 174-187, 2016
Bifurcation analysis of neural mass models: Impact of extrinsic inputs and dendritic time constants
A Spiegler, SJ Kiebel, FM Atay, TR Knösche
NeuroImage 52 (3), 1041-1058, 2010
Modeling brain resonance phenomena using a neural mass model
A Spiegler, TR Knösche, K Schwab, J Haueisen, FM Atay
PLoS computational biology 7 (12), e1002298, 2011
Linking molecular pathways and large-scale computational modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer's disease
L Stefanovski, P Triebkorn, A Spiegler, MA Diaz-Cortes, A Solodkin, ...
Frontiers in computational neuroscience 13, 54, 2019
Bottom up modeling of the connectome: linking structure and function in the resting brain and their changes in aging
TT Nakagawa, VK Jirsa, A Spiegler, AR McIntosh, G Deco
Neuroimage 80, 318-329, 2013
How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models?
T Proix, A Spiegler, M Schirner, S Rothmeier, P Ritter, VK Jirsa
NeuroImage 142, 135-149, 2016
Selective activation of resting-state networks following focal stimulation in a connectome-based network model of the human brain
A Spiegler, ECA Hansen, C Bernard, AR McIntosh, VK Jirsa
eneuro 3 (5), 2016
Systematic approximations of neural fields through networks of neural masses in the virtual brain
A Spiegler, V Jirsa
NeuroImage 83, 704-725, 2013
Fast–slow bursters in the unfolding of a high codimension singularity and the ultra-slow transitions of classes
ML Saggio, A Spiegler, C Bernard, VK Jirsa
The Journal of Mathematical Neuroscience 7, 1-47, 2017
Heterogeneity of time delays determines synchronization of coupled oscillators
S Petkoski, A Spiegler, T Proix, P Aram, JJ Temprado, VK Jirsa
Physical Review E 94 (1), 012209, 2016
Phase coupling between different motor areas during tongue-movement imagery
A Spiegler, B Graimann, G Pfurtscheller
Neuroscience letters 369 (1), 50-54, 2004
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17, 1-112, 2016
Ebbinghaus figures that deceive the eye do not necessarily deceive the hand
H Knol, R Huys, JC Sarrazin, A Spiegler, VK Jirsa
Scientific reports 7 (1), 3111, 2017
Brain simulation augments machine‐learning–based classification of dementia
P Triebkorn, L Stefanovski, K Dhindsa, MA Diaz‐Cortes, P Bey, K Bülau, ...
Alzheimer's & Dementia: Translational Research & Clinical Interventions 8 (1 …, 2022
In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing
A Spiegler, JK Abadchi, M Mohajerani, VK Jirsa
Network Neuroscience 4 (3), 807-851, 2020
Effects of multimodal distribution of delays in brain network dynamics
S Petkoski, A Spiegler, T Proix, V Jirsa
BMC Neuroscience 16, 1-2, 2015
Complex behavior in a modified Jansen and Rit neural mass model
A Spiegler, TR Knösche, J Haueisen, FM Atay
BMC neuroscience 12 (Suppl 1), P5, 2011
Dynamics of biologically informed neural mass models of the brain
A Spiegler
Universitätsbibliothek Ilmenau, 2012
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