Article ID Journal Published Year Pages File Type
9653547 Neurocomputing 2005 11 Pages PDF
Abstract
Recent experiments revealed that there exist electrophysiologically, anatomically, and functionally distinct two classes of GABAergic interneurons in the cerebral cortex, fast spiking (FS) cells, and non-FS cells. We propose a network model of cortical local circuits including dendritic inhibition, which is the anatomical hallmark of the non-FS cells. While conventional lateral inhibition models always converge to winner-take-all states if the self-excitation is strong, our model does so only for appropriate inputs, but otherwise converges to another states, in which all the neurons have little activities, even if the self-excitation is strong enough to keep the winner's activity after the extinction of the inputs.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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