Literature DB >> 31600507

Designing and Interpreting Psychophysical Investigations of Cognition.

Michael L Waskom1, Gouki Okazawa1, Roozbeh Kiani2.   

Abstract

Scientific experimentation depends on the artificial control of natural phenomena. The inaccessibility of cognitive processes to direct manipulation can make such control difficult to realize. Here, we discuss approaches for overcoming this challenge. We advocate the incorporation of experimental techniques from sensory psychophysics into the study of cognitive processes such as decision making and executive control. These techniques include the use of simple parameterized stimuli to precisely manipulate available information and computational models to jointly quantify behavior and neural responses. We illustrate the potential for such techniques to drive theoretical development, and we examine important practical details of how to conduct controlled experiments when using them. Finally, we highlight principles guiding the use of computational models in studying the neural basis of cognition.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  behavior; cognition; computational models; experimental design; psychophysics

Year:  2019        PMID: 31600507      PMCID: PMC6855836          DOI: 10.1016/j.neuron.2019.09.016

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  94 in total

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Review 2.  Contributions of ideal observer theory to vision research.

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Authors:  Roozbeh Kiani; Timothy D Hanks; Michael N Shadlen
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5.  Neurally constrained modeling of speed-accuracy tradeoff during visual search: gated accumulation of modulated evidence.

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Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

Review 6.  Toward a Rational and Mechanistic Account of Mental Effort.

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Journal:  Annu Rev Neurosci       Date:  2017-03-31       Impact factor: 12.449

Review 7.  Anticipated moments: temporal structure in attention.

Authors:  Anna C Nobre; Freek van Ede
Journal:  Nat Rev Neurosci       Date:  2017-12-07       Impact factor: 34.870

8.  The dorsal medial frontal cortex is sensitive to time on task, not response conflict or error likelihood.

Authors:  Jack Grinband; Judith Savitskaya; Tor D Wager; Tobias Teichert; Vincent P Ferrera; Joy Hirsch
Journal:  Neuroimage       Date:  2010-12-17       Impact factor: 6.556

9.  Working memory, attention control, and the N-back task: a question of construct validity.

Authors:  Michael J Kane; Andrew R A Conway; Timothy K Miura; Gregory J H Colflesh
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2007-05       Impact factor: 3.051

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

Authors:  Paul Miller; Donald B Katz
Journal:  J Comput Neurosci       Date:  2013-04-23       Impact factor: 1.621

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4.  Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization.

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  4 in total

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