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• W2007052121 abstract "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." @default.
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• W2007052121 date "2008-08-01" @default.
• W2007052121 modified "2023-10-12" @default.
• W2007052121 title "Population dynamics: Variance and the sigmoid activation function" @default.
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• W2007052121 doi "https://doi.org/10.1016/j.neuroimage.2008.04.239" @default.
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