You are here: Frontpage : Introduction » Tutorials » Analysis of ongoing, evoked, and induced neuronal activity: Power spectra, wavelet analysis, and coherence

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tutorial:power_spectra_wavelet_analysis_and_coherence [2011/11/29 21:42] Klaus Linkenkaer-Hansen [Wavelet Transform] |
tutorial:power_spectra_wavelet_analysis_and_coherence [2013/11/29 08:47] (current) Klaus Linkenkaer-Hansen |
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</code> | </code> | ||

- | Go to the directory 'C' using 'cd'. | + | Go to the directory 'C' using 'cd'. If you do not have write access, try another drive, e.g., 'H'. |

<code> | <code> | ||

- | >> cd C | + | >> cd C:\ |

</code> | </code> | ||

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==== Wavelet analysis of stimulus evoked activity ==== | ==== Wavelet analysis of stimulus evoked activity ==== | ||

- | Time-frequency (TF) analysis is nowadays (since year 1999 or so) also widely used as a complement to classical averaged evoked response waveforms. Let's try this by applying the wavelet analysis to the evoked response that we analyzed earlier in the course. The following commands are copy-and-paste from previous tutorials: | + | Time-frequency (TF) analysis is nowadays (since year 1999 or so) also widely used as a complement to classical averaged evoked response waveforms. Let's try this by applying the wavelet analysis to a somatosensory evoked response (which you may just have computed in a previous tutorials). Compute and plot the evoked response using the following commands: |

<code> | <code> | ||

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Also try to shift the data of the two channels in time (e.g., compute the coherence between the first half of the data in RSM with the second half of the data in LSM). | Also try to shift the data of the two channels in time (e.g., compute the coherence between the first half of the data in RSM with the second half of the data in LSM). | ||

- | What do you see and why? | + | **Question:**\\ |

+ | What do you see and why?\\ | ||

Ask if you are in doubt how to shift the samples in the two signals relative to each other. | Ask if you are in doubt how to shift the samples in the two signals relative to each other. | ||

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