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Psychophysics and Data Analysis

MITCBMM via YouTube

Overview

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Explore the fundamentals of psychophysics and data analysis in this 45-minute tutorial from the MIT BMM Summer Course 2018, presented by Kohitij Kar. Delve into key concepts such as magnitude estimation, power law, matching, detection, and the method of adjustment. Examine dot motion, psychometric functions, and motion after-effects. Gain insights into signal detection theory and its graphical representations, including Receiver Operating Characteristics. Discover the applications of Amazon Mechanical Turk in research, comparing its benefits to traditional lab settings. Investigate the history and current uses of Mechanical Turk while considering its implications for psychophysical studies. Engage with deep rhymes and expand your understanding of psychophysics through practical examples and theoretical discussions.

Syllabus

Psychophysics
Overview
Magnitude Estimation
Power Law
Matching
Detection
Method of adjustment
Dot motion
Psychometric function
Motion after effect
Signal detection theory
Graphical representation
Deep rhymes
Receiver Operating Characteristics
Mechanical Turk
Mechanical Turk History
Amazon Mechanical Turk
Amazon Mechanical Turk vs Lab
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Taught by

MITCBMM

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