Value-based decision making via sequential sampling with hierarchical competition and attentional modulation.

ABSTRACT: In principle, formal dynamical models of decision making hold the potential to represent fundamental computations underpinning value-based (i.e., preferential) decisions in addition to perceptual decisions. Sequential-sampling models such as the race model and the drift-diffusion model that are grounded in simplicity, analytical tractability, and optimality remain popular, but some of their more recent counterparts have instead been designed with an aim for more feasibility as architectures to be implemented by actual neural systems. Connectionist models are proposed herein at an intermediate level of analysis that bridges mental phenomena and underlying neurophysiological mechanisms. Several such models drawing elements from the established race, drift-diffusion, feedforward-inhibition, d

SUBMITTER: Colas JT 

PROVIDER: S-EPMC5659783 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature