Generalizing a two-population decision model to any Hill coefficient and adding self-inhibition delay can flip the predicted dynamics from stable decisions to oscillations or divergence.
-1.0 -0.5 0.0 0.5 1.0 x 1 2 3 4 5 6 g(x) Figure 4: The plot of the functiong(x) =arccosx√ 1−x2, wherelim x→−1 g(x) =∞ andlim x→1 g(x) = 1
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Impact of Hill coefficient and time delay on a perceptual decision-making model
Generalizing a two-population decision model to any Hill coefficient and adding self-inhibition delay can flip the predicted dynamics from stable decisions to oscillations or divergence.