From model-based perceptual decision-making to spatial interference control

Perceptual decision making from correlated samples

The optimal perceptual decision making strategy for weighting serially presented information depends on the degree of sample dependence. Uniform weighting produces optimal estimates from independent samples, but increases in autocorrelation should be matched by increasing and symmetric overweighting of early and late samples in order to maintain optimal performance. In the current experiment, p...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

Dissociating sensory from decision processes in human perceptual decision making

A key question within systems neuroscience is how the brain translates physical stimulation into a behavioral response: perceptual decision making. To answer this question, it is important to dissociate the neural activity underlying the encoding of sensory information from the activity underlying the subsequent temporal integration into a decision variable. Here, we adopted a decoding approach...

Adaptive Fuzzy Model-Based Predictive Control Using Fuzzy Decision- Making

Motivated by the need to develop more effective methods of controlling uncertain non-linear systems, this paper focus on developing an adaptive fuzzy model-based controller, in which the optimisation variables remain in the fuzzy domain. The scheme uses an on-line fuzzy identification scheme, which is able to generate a fuzzy relational model using the training data from the system. The propose...

Social influence and perceptual decision making: a diffusion model analysis.

Classic studies on social influence used simple perceptual decision-making tasks to examine how the opinions of others change individuals' judgments. Since then, one of the most fundamental questions in social psychology has been whether social influence can alter basic perceptual processes. To address this issue, we used a diffusion model analysis. Diffusion models provide a stochastic approac...