Flexible categorization in perceptual decision making

Abstract

Attractor networks and drift diffusion models are two approaches to model the perceptual decision making process. Here, the authors identify an intermediate regime only for the attractor model that allows flexible categorization of two choice decisions for long duration and noisy stimuli and validate these model predictions with psychophysical experiments.