94
A. F. Amil et al.
and facilitating the rapid acquisition of priors over stimuli. Finally, our model naturally
accounts for the role of ACh in uncertainty estimation [9] by considering that high ACh
levels were needed to reduce the chaotic dynamics and correctly classify a stimulus
under high levels of noise or variability.
Fig. 1. Neocortical model of perceptual decision-making under cholinergic control. (A) Low
ACh levels where global inhibition dominates the dynamics. (B) High ACh levels where recurrent
excitation and mutual inhibition dominates. Each pyramidal population receives external stochastic
stimulation (perceptual evidence). Excitatory neurons are represented by blue triangular cells.
PV+ interneurons are represented by red circular cells. SOM+ interneurons are represented by
green elliptical cells. ACh levels are represented by the number of blue circles. Standard arrows
correspond to excitatory synapses and circular arrows to inhibitory ones. (Color figure online)
A. F. Amil et al.
and facilitating the rapid acquisition of priors over stimuli. Finally, our model naturally
accounts for the role of ACh in uncertainty estimation [9] by considering that high ACh
levels were needed to reduce the chaotic dynamics and correctly classify a stimulus
under high levels of noise or variability.
Fig. 1. Neocortical model of perceptual decision-making under cholinergic control. (A) Low
ACh levels where global inhibition dominates the dynamics. (B) High ACh levels where recurrent
excitation and mutual inhibition dominates. Each pyramidal population receives external stochastic
stimulation (perceptual evidence). Excitatory neurons are represented by blue triangular cells.
PV+ interneurons are represented by red circular cells. SOM+ interneurons are represented by
green elliptical cells. ACh levels are represented by the number of blue circles. Standard arrows
correspond to excitatory synapses and circular arrows to inhibitory ones. (Color figure online)