Multidimensional Models of Perception and Cognition
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advanced psychophysics
Category=JMR
Choice Probabilities
Cumulative Distribution Function
Data Set
De Soete
decision
Decision Bound
decision theory
decisional
Decisional Separability
distances
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euclidean
general
General Recognition Theory
IAC Model
independence
Latent Class
MDS Solution
Minimum Distance Classifier
multidimensional cognitive modeling research
neural variability
Noncentral Chi Square Distribution
Optimal Decision Bound
Paired Comparison Model
Paired Comparisons Data
perceptual
Perceptual Dependence
Perceptual Distribution
Perceptual Effect
Perceptual Independence
Perceptual Separability
Perceptual Space
psychological measurement
recognition
recognition memory models
Redundancy Gain
Sampling Independence
separability
stimulus identification
theory
Thurstone Models
Unfolding Model
Product details
- ISBN 9781138994263
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 27 Nov 2015
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.
