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Journal ArticleDOI

Chaos via Shilnikov's Saddle-Node Bifurcation in a Theory of the Electroencephalogram

Lennaert van Veen, +1 more
- 13 Nov 2006 - 
- Vol. 97, Iss: 20, pp 208101
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TLDR
It is shown that the chaos is spawned by a codimension-one homoclinic bifurcation that was analyzed by Shilnikov in 1969 but has never before been found in a physical application.
Abstract
We study the bifurcation diagram of a mesoscopic model of the human cortex. This model is known to exhibit robust chaotic behavior in the space of parameters that model exterior forcing. We show that the bifurcation diagram has an unusual degree of organization. In particular, we show that the chaos is spawned by a codimension-one homoclinic bifurcation that was analyzed by Shilnikov in 1969 but has never before been found in a physical application.

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Citations
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Journal ArticleDOI

Large-scale neural dynamics: simple and complex.

TL;DR: Extensions of the basic formalism to treat refractoriness, adaptive feedback and inhomogeneous connectivity are described along with open challenges for the development of multi-scale models that can integrate macroscopic models at large spatial scales with models at the microscopic scale.
Journal ArticleDOI

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

TL;DR: This work systematically describes the oscillatory regimes which a NMM of a single cortical source with extrinsic input from other cortical and subcortical areas to each subpopulation can explain, using bifurcation analysis to describe qualitative changes in system behavior in response to quantitative input changes.
Journal ArticleDOI

Modeling brain resonance phenomena using a neural mass model.

TL;DR: The findings confirm that the NMM is a useful model of brain dynamics during photic driving and can be used to study the mechanisms of, for example, perception and epileptic seizure generation.
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A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.

TL;DR: This study simulates a cortical brain network using the Wilson-Cowan neural mass model with conduction delays and noise, and uses inhibitory synaptic plasticity (ISP) to dynamically achieve a spatially local balance between excitation and inhibition.
Journal ArticleDOI

The dynamic evolution of focal-onset epilepsies--combining theoretical and clinical observations.

TL;DR: This study explored the relationship between model dynamics and clinical recordings from patients with focal epilepsies, and found that spikes in the considered model arose out of so‐called ‘false’ bifurcations, a finding consistent with other neural models with two timescales of inhibitory processes.
References
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Book

Neocortical Dynamics and Human EEG Rhythms

TL;DR: This paper presents a meta-analyses of the statistical mechanics of multiple scales of neocortical interactions of Paul Nunez's "quantitative states of neocortex" and the "global contribution to EEG dynamics".
Journal ArticleDOI

Is there chaos in the brain? II. Experimental evidence and related models.

TL;DR: The data and main arguments that support the existence of chaos at all levels from the simplest to the most complex forms of organization of the nervous system are presented.
Journal ArticleDOI

Waves, bumps, and patterns in neural field theories

TL;DR: This paper presents a review of neural field models of firing rate activity and shows how recent advances have opened the way for future studies of neural fields in both one and two dimensions that can incorporate realistic forms of axo-dendritic interactions and the slow intrinsic currents that underlie bursting behaviour in single neurons.
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