Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making.
about
Of monkeys and men: Impatience in perceptual decision-makingSequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and ExtensionsTemporal Integration of Auditory Information Is Invariant to Temporal Grouping Cues(1,2,3)A Common Mechanism Underlying Food Choice and Social DecisionsNon-monotonic Temporal-Weighting Indicates a Dynamically Modulated Evidence-Integration Mechanism.Competing basal ganglia pathways determine the difference between stopping and deciding not to goSpatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision makingOptimal policy for value-based decision-making.Global gain modulation generates time-dependent urgency during perceptual choice in humans.Perceptual decisions are biased by the cost to act.Unbounded evidence accumulation characterizes subjective visual vertical (SVV) forced-choice perceptual choice and confidence.Improved information pooling for hierarchical cognitive models through multiple and covaried regression.Comparing fixed and collapsing boundary versions of the diffusion model.The EZ diffusion model provides a powerful test of simple empirical effects.Serial vs. parallel models of attention in visual search: accounting for benchmark RT-distributions.Discriminating evidence accumulation from urgency signals in speeded decision making.A single trial analysis of EEG in recognition memory: Tracking the neural correlates of memory strength.Piercing of Consciousness as a Threshold-Crossing Operation.How to discriminate conclusively among different models of decision making?The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making.Value-based decision making via sequential sampling with hierarchical competition and attentional modulation.The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models.Experimental validation of the diffusion model based on a slow response time paradigm.Evidence against perfect integration of sensory information during perceptual decision making.Time-varying decision boundaries: insights from optimality analysis.Internal and external sources of variability in perceptual decision-making.RELATING ACCUMULATOR MODEL PARAMETERS AND NEURAL DYNAMICS.The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making.Using Bayesian regression to test hypotheses about relationships between parameters and covariates in cognitive models.People adopt optimal policies in simple decision-making, after practice and guidance.Overcoming indecision by changing the decision boundary.Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward.Irrational time allocation in decision-making.Suboptimality in Perceptual Decision Making.Dynamic combination of sensory and reward information under time pressure.Neurodynamic Evidence Supports a Forced-Excursion Model of Decision-Making under Speed/Accuracy Instructions.Value-based attentional capture affects multi-alternative decision makingPsychophysical reverse correlation reflects both sensory and decision-making processesBridging Neural and Computational Viewpoints on Perceptual Decision-MakingSingle-trial dynamics explain magnitude sensitive decision making
P2860
Q26777701-4C600C39-A228-493D-8BD6-FB021A946196Q28595641-BB440963-0E60-45B9-8461-EDB6F7931DF6Q30401196-A681BBE6-3C3E-4C7A-94BB-11A983F152F9Q35804544-44AEC4BA-9414-4F4E-9F28-04A6FA8B1047Q35920641-6A81C9FE-F76D-41A2-95FA-FE09D89ABD4AQ36391331-D7CDC1A8-E4AF-49A4-8A2C-95EAE8D8D840Q36449033-568E31C3-7A9C-4FC9-92DA-177B2328A40BQ37191786-81780E16-6650-440F-859D-A4764177EE4BQ37439700-C039F506-8FE3-436F-8715-78776C6404B7Q37656657-A81CE625-9880-46CD-B625-2D1E4E134B5BQ38659361-6C7400FC-1A11-40FE-96D1-936331DE5655Q38683057-5CA9EB94-66BD-4E50-AADF-E155FC55FA23Q38745278-64A56DD0-E607-4E6F-9949-D94756F1B232Q38879782-B369D130-905E-450E-80AD-CB77D39F1D78Q38935511-3B37AD95-5443-4F7B-859C-5EDF169CE8ABQ39014943-7548B247-666B-4FD7-9220-CF27F726345CQ39331621-C57B8E81-5AFF-4DC9-9338-6FD39D4BE803Q41424650-8EBA4629-D45F-42B5-8152-C086A421B13FQ41907407-EA3647B4-680F-4CF3-8AC6-6289AFEDFBC1Q46544869-6A0E4CC3-EF8A-4E13-8E75-7004223F840CQ46666273-297CDFD4-DBE8-4B0C-95B5-4E41D1702129Q47096037-8451DE3B-2395-4181-8738-6315E43A5F3FQ47336478-EFCB7F45-6701-4471-B2CA-140BD84AD6C0Q47592998-B64248E0-A4A9-4EB0-9167-8C5F73DE0F46Q47757045-EF9E362F-210E-4CDB-B3AF-6F00BBDB042EQ47789058-56B39272-22E6-427D-A18F-5545060A6931Q47893641-2799B67A-6886-4A2C-891B-B54DA37C2585Q50122133-78A3FE7D-8EE3-4989-9304-157E71F38DB4Q50428872-226C4DE1-2E6C-44ED-B7B7-9775B62A5BD0Q50490880-68CF1374-7AD1-4EE3-9897-A2C86FFA027EQ52098760-118E3D26-5215-4731-9D79-4C2145E4AB25Q52688950-241FD583-7318-4F2E-AE3E-47577B0302DDQ53213867-7F939289-5FCD-4B78-B7DA-BEA2AA9C5A21Q53446198-8C7F002D-6EDF-4EFE-97DA-D021B0FC035EQ54956970-31BAE881-F321-4441-B17F-A79A3C6DF39AQ55451546-7BAA7108-573D-471F-9A49-7E06BB549FF4Q58610047-D347C22A-43D6-4831-B5B6-77F61EF10C61Q58699515-8230977F-6BAE-4C74-BA97-1C9828B1402DQ58701287-818BB9C3-3D9A-4D68-93B8-32B87677F09FQ58755288-97BF1FC2-D781-47D1-A848-5D03537E8623
P2860
Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Revisiting the evidence for co ...... in perceptual decision-making.
@en
type
label
Revisiting the evidence for co ...... in perceptual decision-making.
@en
prefLabel
Revisiting the evidence for co ...... in perceptual decision-making.
@en
P2093
P1476
Revisiting the evidence for co ...... in perceptual decision-making.
@en
P2093
Birte U Forstmann
Eric-Jan Wagenmakers
Guy E Hawkins
Roger Ratcliff
P304
P356
10.1523/JNEUROSCI.2410-14.2015
P407
P577
2015-02-01T00:00:00Z