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Neural Signal Processing Techniques by asdfghjkl is a document available to read on EtoBox.

1. The document discusses various signal processing techniques for analyzing neural signals, including cross-correlation, coherence, current source density analysis, time-frequency analysis using spectrograms and wavelets, and phase-amplitude coupling. 2. Hands-on labs for the Neural Computation & Engineering course involve recording and stimulating nervous systems, neural decoding, and controlling devices with neural activity. 3. Optogenetics can be used to induce different oscillation patterns and pha

Author
asdfghjkl
Language
EN