Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model

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Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model.

Experimental results suggest that there are two distinct mechanisms of inhibition in cortical neuronal networks: subtractive and divisive inhibition. They modulate the input-output function of their target neurons either by increasing the input that is needed to reach maximum output or by reducing the gain and the value of maximum output itself, respectively. However, the role of these mechanis...

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ژورنال

عنوان ژورنال: Physical Review E

سال: 2015

ISSN: 1539-3755,1550-2376

DOI: 10.1103/physreve.92.032723