Extending the Drift Diffusion Model to the Cognitive Realm

Abstract

The drift diffusion model has had great success as a computational model to study the underlying processes of sensory and value-based decision making and the diffusion process may actually mimic how the brain integrates evidence and makes decisions. Here I review recent applications and extensions of the drift diffusion model to self-control, loss aversion, driving behaviour, racial biases and reinforcement learning with the aim of finding out whether the model is applicable to more cognitive tasks.