That is, parameter changes trigger qualitative changes in network dynamics and, as a consequence, qualitative changes in the cognitive network behavior as well. Detection of connections among image regions by the visual brain Pieter R. Roelfsema Connectedness is one of the most important grouping criteria that allow the visual system to segregate objects from each other and from the background. Algorithms for the detection of connectedness will be reviewed from a neurophysiological and psychophysiological point of view. It will be suggested that connectedness detection by a feedforward network is physiologically implausible. Instead, I present evidence that visual cortical neurons label connected image regions serially, by exhibiting an enhanced firing rate.
Psychophysical results imply that connectedness detection requires visual attention.
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