Loading...
Please wait, while we are loading the content...
Similar Documents
About the Influence of Neuronal Variability in a Mean-Field Model of the Visual Cortex
| Content Provider | CiteSeerX |
|---|---|
| Author | Stetter, Martin Obermayer, Klaus Bartsch, Hauke |
| Abstract | n distributed thresholds (upper figure oe = 0:1, middle figure oe = 1). In the lower figure we use a bimodal distribution (oe 1;2 = 0:1; ¯1 = 1; ¯2 = 3). Additionally in each figure a histogram of the actually used thresholds (200 neurons) is shown. Only if there is a bimodal distribution of thresholds, the model predicts a saturating contrast--response curve for high cortical coupling strength. question, if and under which conditions the inclusion of a variability of the thresholds can stabilize contrast saturation also for high intracortical excitation. In particular we focus on one pair of neurons e; i and extend the model to incorporate different Gaussian threshold distributions for the inhibitory population. We first assume a unimodal distribution P |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Mean-field Model High Intracortical Excitation Contrast Saturation High Cortical Coupling Strength Different Gaussian Threshold Distribution Upper Figure Visual Cortex Unimodal Distribution F19 Neuronal Variability Contrast Response Curve Middle Figure Inhibitory Population Bimodal Distribution |
| Content Type | Text |
