YouTube27 Oct 2021

4. Cognitive Neuroscience Methods I

Podcast cover

MIT OpenCourseWare

The lecture explores David Marr's computational theory of mind and brain, emphasizing the importance of understanding what is computed and why, using color vision and face perception as case studies. Color vision is presented as an ill-posed problem where the light reaching our eyes (luminance) is a product of an object's surface properties (reflectance) and the incident light, requiring the brain to make assumptions to infer the object's true color. An experiment involving color perception of cars under different lighting conditions demonstrates how the visual system infers the color of incident light to solve this problem. The lecture transitions to face perception, highlighting the challenge of recognizing faces due to the vast variability in images and introduces functional MRI as a method to study brain activity related to face recognition.

Outlines

Part 1: Framework and Computational Theory

Part 2: Color Vision and Ill-Posed Problems

Part 3: Analysis Levels and Psychophysics

Part 4: Face Perception and Recognition

Part 5: Neuroscience Methods and fMRI

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