A. Spiegler

发表

In-silico Exploration of Mouse Brain Dynamics by Stimulation explains Functional Networks and Sensory Processing

Viktor K. Jirsa, Andreas Spiegler, Majid H. Mohajerani, 2019, bioRxiv.

Dynamics of biologically informed neural mass models of the brain

A. Spiegler, 2011 .

Fast–Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes

Viktor K. Jirsa, Andreas Spiegler, Christophe Bernard, 2016, The Journal of Mathematical Neuroscience.

Heterogeneity of time delays determines synchronization of coupled oscillators.

Andreas Spiegler, Parham Aram, Viktor K Jirsa, 2016, Physical review. E.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Ebbinghaus figures that deceive the eye do not necessarily deceive the hand

Viktor Jirsa, R. Huys, A. Spiegler, 2017, Scientific Reports.

Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease

Andreas Spiegler, Anthony Randal McIntosh, Viktor Jirsa, 2019, bioRxiv.

Time rescaling reproduces EEG behavior during transition from propofol anesthesia-induced unconsciousness to consciousness

C. Bénar, F. Bartolomei, A. Spiegler, 2018, Scientific Reports.

Brain simulation augments machine‐learning–based classification of dementia

A. McIntosh, A. Solodkin, P. Ritter, 2022, Alzheimer's & Dementia : Translational Research & Clinical Interventions.

Biological and Computer Vision

Rachid Deriche, Christophe Lenglet, Carl-Fredrik Westin, 2005 .

Bifurcation Analysis of Neural Mass Models

Andreas Spiegler, Thomas R. Knösche, Stefan J. Kiebel, 2010 .

Functional connectivity dynamics: Modeling the switching behavior of the resting state

Gustavo Deco, Viktor K. Jirsa, Andreas Spiegler, 2015, NeuroImage.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Mathematical framework for large-scale brain network modeling in The Virtual Brain

Viktor K. Jirsa, Andreas Spiegler, Paula Sanz-Leon, 2015, NeuroImage.

Brain simulation augments machine‐learning–based classification of dementia

A. Solodkin, P. Ritter, A. Spiegler, 2021, bioRxiv.

Multi-scale brain simulation with integrated positron emission tomography yields hidden local field potential activity that augments machine learning classification of Alzheimer’s disease

Viktor Jirsa, A. Solodkin, P. Ritter, 2021 .

Time rescaling reproduces EEG behavior during transition from propofol anesthesia-induced unconsciousness to consciousness

C. Bénar, F. Bartolomei, A. Spiegler, 2018, Scientific Reports.

Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease

Viktor Jirsa, A. Solodkin, P. Ritter, 2019, Front. Comput. Neurosci..

Modeling Brain Resonance Phenomena Using a Neural Mass Model

Karin Schwab, Andreas Spiegler, Thomas R. Knösche, 2011, PLoS Comput. Biol..

In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing

Viktor K. Jirsa, Majid Mohajerani, Javad Karimi Abadchi, 2020, Network Neuroscience.

Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study

Viktor K. Jirsa, Andreas Spiegler, Jens Haueisen, 2016, NeuroImage.

Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain

Andreas Spiegler, Christophe Bernard, Viktor K Jirsa, 2016, eNeuro.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models?

Viktor K. Jirsa, Andreas Spiegler, Michael Schirner, 2016, NeuroImage.

Systematic approximations of neural fields through networks of neural masses in the virtual brain

Viktor K. Jirsa, Andreas Spiegler, Viktor Jirsa, 2013, NeuroImage.

Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging

Gustavo Deco, Viktor K. Jirsa, Andreas Spiegler, 2013, NeuroImage.

Stimulation activates functionally relevant networks in a network model of the human brain

A. Spiegler, E. C. A. Hansen, C. Bernard, 2017, Brain Stimulation.

Bifurcation Analysis of Neural Mass Models

S. Kiebel, T. Knösche, A. Spiegler, 2010 .

Bifurcation analysis of neural mass models: Impact of extrinsic inputs and dendritic time constants

F. Atay, S. Kiebel, T. Knösche, 2010, NeuroImage.

Phase coupling between different motor areas during tongue-movement imagery

Bernhard Graimann, Gert Pfurtscheller, Andreas Spiegler, 2004, Neuroscience Letters.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Selective activation of resting state networks following focal stimulation in a connectome- based network model of the human brain

Viktor Jirsa, A. Spiegler, E. Hansen, 2016, 1602.07311.