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Speed Versus Accuracy in Visual Search: Optimal Performance and Neural Implementations

Chen, Bo and Perona, Pietro (2016) Speed Versus Accuracy in Visual Search: Optimal Performance and Neural Implementations. In: Computational and Cognitive Neuroscience of Vision. Cognitive Science and Technology. Springer , Singapore, pp. 105-140. ISBN 978-981-10-0211-3. http://resolver.caltech.edu/CaltechAUTHORS:20190327-130017398

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Abstract

What is psychophysics? In its traditional definition, psychophysics studies how mental states (psycho) are affected by physical stimuli (physics). For instance, a cute dog (physical stimulus) may elicit a feeling of warmth and affection (psycho state), and psychophysics studies how specific attributes (breed, size, smell, etc.) of the dog relate to our feelings.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-981-10-0213-7_6DOIArticle
http://resolver.caltech.edu/CaltechAUTHORS:20160204-130043407Related ItemJournal Article
ORCID:
AuthorORCID
Chen, Bo0000-0001-5566-7361
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2017 Springer Science+Business Media Singapore. First Online: 04 October 2016. Disclaimer: Most of the materials below are adapted from the following publication: B. Chen and P. Perona, Speed versus accuracy in visual search: Optimal performance and neural architecture. Journal of Vision 15(16), 9–9.
Subject Keywords:Visual Search; Spike Train; Visual Search Task; Response Time Distribution; Partially Observable Markov Decision Process
Record Number:CaltechAUTHORS:20190327-130017398
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190327-130017398
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94219
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Mar 2019 20:23
Last Modified:27 Mar 2019 20:23

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