Neuroscience source separation 3a: Multivariate cross-frequency coupling

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  • čas přidán 29. 08. 2024

Komentáře • 13

  • @jayyan2348
    @jayyan2348 Před 2 lety +5

    You've really made a great contribution to the field of neuroscience

  • @elisatatti2022
    @elisatatti2022 Před 3 lety +1

    I really appreciate your work, your honesty and the clarity with which you explain complex topics . All I know about EEG is because of you. Thank you!

  • @helicalactual
    @helicalactual Před 4 měsíci

    is the reason for this is energy conservation in the brain? in either case, the coupling or the other model?

  • @Joe-nh9fy
    @Joe-nh9fy Před 3 lety

    You are the man

  • @nara2183
    @nara2183 Před 3 lety

    Excellent presentation and just what I wanted, when I started looking for multi-channel CFC measures! What program do you use for making slides ?

    • @mikexcohen1
      @mikexcohen1  Před 3 lety +2

      Thanks! I use google slides. The 'trick' is that I create the plots in MATLAB and set the figure background to be the same color as the google-slides background color. That makes the data graphs look seamlessly integrated into the slides. I also had my slide-deck template (colors, layouts, etc) created by a professional science graphics designer.

    • @nara2183
      @nara2183 Před 3 lety

      @@mikexcohen1 Thank for the reply. I am actually faced with a problem of testing the hypothesis of low frequency phase modulating high frequency amplitude. This seems apt for that (method 1 from your paper). I am yet to give it a thorough read, but I wonder if it can be used to look at these PAC relations in a spatio--temporal manner. I am dealing with lfp data. Thanks again!

  • @seansmith5468
    @seansmith5468 Před 4 lety

    Gratitude for your free book on Kindle!

  • @erickappel4120
    @erickappel4120 Před 4 lety

    You keep amazing me!