Skip to main content
. 2016 Feb;39(2):63–73. doi: 10.1016/j.tins.2015.12.009

Figure I.

Figure I

Algorithmic Level of Neural Gain Impairment. On the algorithmic level, (A) neural gain can be described by a change in the softmax decision steepness parameter. (B) Simulated data of the continuous performance task illustrates the effect of that parameter: (C) low gain renders behaviour more variable and ADHD-like (reference data from Losier et al. [10]).