On-Demand Session: Finding the Elephant: Tools for Making Sense of High-dimensional Data

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[00:02:48] Presentation begins by Ann Kennedy, Ph.D.

[00:05:44] A typical experimental workflow

[00:08:38] Analyzing neural tuning: How is the stimulus encoded?

[00:12:22] Neural tuning in a freely behaving animal

[00:14:06] Predicting neural activity using a Generalized Linear Model (GLM)

[00:20:57] Decoders and classifiers

[00:33:40] Using distance measures to compare neural states

[00:38:26] Dimensionality reduction reveals major sources of variance in the data

[00:42:01] Decoding vs. dimensionality reduction

[00:43:47] Closing statements

[00:44:42] Acknowledgements