期刊
NEUROIMAGE
卷 42, 期 1, 页码 147-157出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2008.04.239
关键词
neural-mass models; nonlinear; modelling
资金
- Wellcome Trust [088130] Funding Source: Medline
This paper demonstrates how the sigmoid activation function of neural-mass models can be understood in terms of the variance or dispersion of neuronal states. We use this relationship to estimate the probability density on hidden neuronal states, using non-invasive electrophysiological (EEG) measures and dynamic casual modelling. The importance of implicit variance in neuronal states for neural-mass models of cortical dynamics is illustrated using both synthetic data and real EEG measurements of sensory evoked responses. (C) 2008 Elsevier Inc. All rights reserved.
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