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A Multiple-Well Framework for Human Perceptual Decision-Making
Joseph Fluegemann
, Jiaqi Huang
, Morgan Lena Rosendahl
, Jerome Busemeyer
,
Jonathan D. Cohen
Psychology
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Princeton Institute for Computational Science and Engineering
Princeton Neuroscience Institute
Research output
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Keyphrases
Law
100%
Perceptual Decision-making
100%
Multiple Wells
100%
Two-alternative Forced Choice
33%
Quantitative Model
33%
Well Width
33%
Kinetic Energy
33%
Qualitative Prediction
33%
Response Time
33%
Functional Form
33%
Energy Terms
33%
Markovian
33%
Drift Rate
33%
Cognitive Control
33%
Particle Localization
33%
Signal Strength
33%
Square-well Potential
33%
Well Depth
33%
Cognitive Model
33%
Task Accuracy
33%
Subjective Probability
33%
Decision Outcomes
33%
Exact Functional
33%
Energy Eigenvalues
33%
Evidence Accumulation Process
33%
Inverted U-shaped Relationship
33%
Motion Coherence
33%
Domain Generality
33%
Cognitive Arousal
33%
Social Sciences
Decision Making
100%
Law
100%
Probability Theory
66%
Theoretical Approach
33%
Cognitive Control
33%
Kinetic Energy
33%
Psychology
Decision Making
100%
Arousal
100%
Executive Function
33%
Domain Generality
33%
Kinetic Energy
33%
Earth and Planetary Sciences
Decision Making
100%
Probability Theory
66%
Kinetic Energy
33%
Drift Rate
33%
Square Wells
33%
Neuroscience
Decision-Making
100%
Two-Alternative Forced Choice
33%
Executive Function
33%