How to decode the hidden information within neural activity
In short: Explore the powerful techniques used to translate complex brain signals into meaningful information. This tutorial demonstrates how population decoding can reveal how the brain encodes visual objects.
Part of the MIT RES.9-003 Brains, Minds and Machines course from Summer 2015, this session examines population decoding as a method for analyzing diverse neural data. Whether using single cell recordings, fMRI, MEG, or EEG, these techniques allow researchers to understand how information is contained and encoded within the brain.
The tutorial uses a specific case study of visual object recognition in the primate visual cortex to illustrate these analytical processes.
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Sources
- Summary by Intellect · source: Tutorial 4: Ethan Meyers - Understanding Neural Content via Population Decoding
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