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Viktor K. Jirsa

Researcher at Aix-Marseille University

Publications -  326
Citations -  19650

Viktor K. Jirsa is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Resting state fMRI & Computer science. The author has an hindex of 59, co-authored 277 publications receiving 15502 citations. Previous affiliations of Viktor K. Jirsa include Center for Complex Systems and Brain Sciences & University of Stuttgart.

Papers
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Journal ArticleDOI

Emerging concepts for the dynamical organization of resting-state activity in the brain

Gustavo Deco, +3 more
- 01 Jan 2011 - 
TL;DR: Three large-scale neural system models of primate neocortex that emphasize the key contributions of local dynamics, signal transmission delays and noise to the emerging RSNs are reviewed.
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The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

Gustavo Deco, +5 more
- 29 Aug 2008 - 
TL;DR: It is argued that elaborating principled and informed models is a prerequisite for grounding empirical neuroscience in a cogent theoretical framework, commensurate with the achievements in the physical sciences.
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Key role of coupling, delay, and noise in resting brain fluctuations

Gustavo Deco, +4 more
- 23 Jun 2009 - 
TL;DR: In numerical simulation, the dynamics of a simplified cortical network using 38 noise-driven (Wilson–Cowan) oscillators, which in isolation remain just below their oscillatory threshold are studied, indicating the presence of stochastic resonance and high sensitivity to changes in diffuse feedback activity.
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Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors

Gustavo Deco, +1 more
- 07 Mar 2012 - 
TL;DR: This approach offers a realistic mechanistic model at the level of each single brain area based on spiking neurons and realistic AMPA, NMDA, and GABA synapses and fits quantitatively best the experimentally observed functional connectivity in humans when the brain network operates at the edge of instability.
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On the nature of seizure dynamics

Viktor K. Jirsa, +8 more
- 01 Aug 2014 - 
TL;DR: A taxonomy of seizures based on first principles is established and only five state variables linked by integral-differential equations are sufficient to describe the onset, time course and offset of ictal-like discharges as well as their recurrence.