Combined study of time-series bifurcation and power spectral behaviour of a thalamo-cortico-thalamic neural mass model

Abstract

A combined power spectral and time-series bifurcation analysis of a neural mass model is presented. Such ‘multimodal’ analytical techniques are being used in several researches to understand Electroencephalograph (EEG) anomalies in brain disorders [1][2], in contrast to ‘power spectra-only’ analytical studies that were more common during the early days of EEG analysis. In a recent work, a combined analysis of a simple thalamo-cortical neural mass model in context to EEG abnormality in Alzheimer’s disease (AD) is presented [3]. The study shows that ‘unimodal’ analytical techniques such as power spectra-only studies without a simultaneous observation of the timeseries model output may lead to anomalous conclusions and hypotheses. Towards this, in this work, a ‘multimodal’ analytical technique is applied on a thalamocorticothalamic (tct) model, which was earlier studied using

DOI: 10.1186/1471-2202-14-S1-P18

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Cite this paper

@inproceedings{SenBhattacharya2013CombinedSO, title={Combined study of time-series bifurcation and power spectral behaviour of a thalamo-cortico-thalamic neural mass model}, author={Basabdatta Sen-Bhattacharya}, booktitle={BMC Neuroscience}, year={2013} }