Population dynamics: Variance and the sigmoid activation function
Copyright policy )Population dynamics: Variance and the sigmoid activation function
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.
- University College London United Kingdom
- Wellcome Centre for Human Neuroimaging United Kingdom
Brain Mapping, Models, Statistical, Models, Neurological, Brain, Humans, Computer Simulation, Electroencephalography, Evoked Potentials, Algorithms, Statistical Distributions
Brain Mapping, Models, Statistical, Models, Neurological, Brain, Humans, Computer Simulation, Electroencephalography, Evoked Potentials, Algorithms, Statistical Distributions
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).148 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!