A computational model of inhibitory control in frontal cortex and basal ganglia

TL;DR

This paper presents a neural circuit model that explains how the frontal cortex and basal ganglia work together to inhibit habitual responses and enable goal-directed actions, supported by behavioral and electrophysiological data.

Contribution

It extends existing basal ganglia models by integrating a frontal executive control network, enabling simulation of various response inhibition tasks.

Findings

Model reproduces behavioral patterns in antisaccade and saccade-override tasks.

Simulates effects of lesions and pharmacological manipulations.

Extensible to include inferior frontal cortex for stop-signal task patterns.

Abstract

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 on various response inhibition paradigms. This model extends a well established model of action selection in the basal ganglia by including a frontal executive control network which integrates information about sensory input and task rules to facilitate well-informed decision making via the oculomotor system. Our simulations of the antisaccade, Simon and saccade-override task ensue in conflict between a prepotent and controlled response which causes the network to pause action selection via projections to the subthalamic nucleus. Our model reproduces key behavioral and electrophysiological patterns and their sensitivity to lesions and pharmacological manipulations. Finally, we show how this network can be extended to include the inferior frontal cortex to simulate key qualitative patterns of global response inhibition demands as required in the stop-signal task.