- Poster presentation
- Open Access
A survey of dynamical complexity in a mean-field nonlinear model of human EEG
BMC Neuroscience volume 10, Article number: P285 (2009)
A recently proposed mean-field mesoscopic theory of mammalian cortex dynamics describes the salient features of rhytmic electrical activity in the cerebral macrocolumn, with the use of inhibitory and excitatory neuronal populations . This model is capable of producing a range of important human EEG (electroencephalogram) features such as the alpha rhythm, the 40 Hz activity thought to be associated with conscious awareness  and the changes in EEG spectral power associated with general anesthetic effect (e.g. the so-called "biphasic" response) . From the point of view of nonlinear dynamics, the model entails a vast parameter space within which multistability, pseudoperiodic regimes, different routes to chaos, fat fractals and resonances occur for a range of physiologically relevant parameter values, giving rise to a multitude of rich and elaborate bifurcation scenarios. Examples of these are the Shilnikov saddle-node bifurcation (see Figure 1 and ), the homoclinic doubling cascade and different kinds of resonances. The origin and the character of these complex behaviors and their relevance for EEG activity are illustrated.
Liley DTJ, Cadusch PJ, Dafilis MP: A spatially continuous mean field theory of electrocortical activity. Network: Comput Neural Syst. 2002, 13: 67-113. 10.1088/0954-898X/13/1/303.
Bojak I, Liley DTJ: Self-organized 40 Hz synchronization in a physiological theory of EEG. Neurocomp. 2007, 70: 2085-2090. 10.1016/j.neucom.2006.10.087.
Bojak I, Liley DTJ: Modeling the effects of anesthesia on the electroencephalogram. Phys Rev E. 2005, 71: 041902(1–22)
van Veen L, Liley DTJ: Chaos via Shilnikov's saddle-node bifurcation in a theory of the electroencephalogram. Phys Rev Lett. 2006, 97: 208101(1–4)
About this article
Cite this article
Frascoli, F., Van Veen, L., Bojak, I. et al. A survey of dynamical complexity in a mean-field nonlinear model of human EEG. BMC Neurosci 10, P285 (2009). https://doi.org/10.1186/1471-2202-10-S1-P285
- Salient Feature
- Complex Behavior
- Spectral Power
- Neuronal Population
- Dynamical Complexity