A computational model of executive control in frontal cortex and basal ganglia: multiple levels of analysis

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

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Scientific paper

Planning and executing volitional actions in the face of conflicting habitual responses is a critical aspect of human behavior. At the core of the interplay between these two control systems lies an override mechanism that can suppress the habitual action selection process and allow executive control to take over. Here, we construct a neural circuit model informed by behavioral and electrophysiological data collected from multiple domains including response inhibition, switching, salience detection, and volitional control. This model extends a well established model of action selection in the basal ganglia (BG) by including three frontal regions: the dorsolateral prefrontal cortex, inferior frontal gyrus, and anterior cingulate cortex, together with their innervation by norepinephrine. The frontal network detects salient events, integrates information about sensory input and task rules, and detects conflict between prepotent and controlled responses. In turn, these regions act to pause action selection via projections to the subthalamic nucleus, allowing executive control to influence behavior. Our model reproduces key patterns of behavioral data in the antisaccade and stop signal tasks, and their sensitivity to lesions and pharmacological manipulations. It also captures electrophysiological data in the frontal cortex, basal ganglia, and superior colliculus in these tasks. We further develop a higher level description of the associated processes based on the drift diffusion model (DDM), with a switch in the drift rate when cognitive control is issued. We systematically investigate the relationship between neural model and switch-DDM parameters, thereby developing predictions about the neurobiological modulators of distinct components to executive control.

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