Explore neural population decoding techniques and their applications in understanding brain function through this comprehensive lecture. Delve into the basics of decoding, including a simple experiment and its results, before examining abstract and invariant representations in the brain. Investigate position invariance and face identification invariant to head pose through practical examples. Learn about experiment design and how distractor color changes influence information processing in the inferior temporal cortex. Analyze the delayed match-to-sample task and its implications for decoding match/nonmatch information. Discover the temporal generalization method and gain insights into dynamic population coding. Enhance your understanding of neural algorithms and their role in deciphering the complexities of brain function.
Using Population Decoding to Understand Neural Content and Coding
Overview
Syllabus
Intro
Understanding neural algorithms
Neural population decoding
Decoding basics: A simple experiment
Basic decoding results
Abstract/invariant representations
Example: position invariance
Face identification invariant to head pose
Experiment design
How does the color change of a distractor influence information in IT?
Decoding the distractor
Monkeys then engaged in a delayed match-to-sample task (DMS task)
Decoding applied
Decoding match/nonmatch information
Talk outline
Temporal generalization method
Dynamic population coding
Taught by
MITCBMM
