Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks

Neural Computation (2009) 21 (8): 2336–2362.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

A flexible framework for simulating and fitting generalized drift-diffusion models

Maxwell Shinn
Norman H Lam
John D Murray

eLife (2020) 9

Centroparietal activity mirrors the decision variable when tracking biased and time-varying sensory evidence

Carmen Kohl
Laure Spieser
Bettina Forster
Sven Bestmann
Kielan Yarrow

Cognitive Psychology (2020) 122: 101321.

Non-monotonic Temporal-Weighting Indicates a Dynamically Modulated Evidence-Integration Mechanism

Zohar Z. Bronfman
Noam Brezis
Marius Usher
Wolfgang Einhäuser

PLOS Computational Biology (2016) 12 (2): e1004667.

Accuracy and response-time distributions for decision-making: linear perfect integrators versus nonlinear attractor-based neural circuits

Paul Miller
Donald B. Katz

Journal of Computational Neuroscience (2013) 35 (3): 261.

Bounded Ornstein–Uhlenbeck models for two-choice time controlled tasks

Jiaxiang Zhang
Rafal Bogacz

Journal of Mathematical Psychology (2010) 54 (3): 322.