You've hit on my favorite topic! I too found his stuff on pink noise difficult to parse.
Brain waves become significantly more exciting when you do a deep dive into specific oscillators.
1. Sharp-wave ripples (SWRs, 80-140 Hz) play an essential role in memory recall.
> Girardeau et al (2009) provides loss of function evidence that suppression of sleep SWRs dramatically impairs subsequent memory recall for spatial tasks. This finding is nicely complemented by several gain of function experiments. Fernandez-Ruiz et al (2019) were able to prolong ripple duration, and showed that prolongation improved performance, and conversely that shortening impaired performance. This may explain why novel situations naturally evince longer duration ripples.
2. The SPEAR model, which associates peak of theta wave with past encoding vs trough with future predictions is one of the most extraordinary facts I know.
4. How gamma-beta implement feedforward and feedback signals (in shallow and deep layers of cortex respectively), fully consistent with active inference models. Very strong recommendation for Earl Miller's laboratory. https://www.youtube.com/watch?v=Kqyhr9fTUjs&t=1841s
You've hit on my favorite topic! I too found his stuff on pink noise difficult to parse.
Brain waves become significantly more exciting when you do a deep dive into specific oscillators.
1. Sharp-wave ripples (SWRs, 80-140 Hz) play an essential role in memory recall.
> Girardeau et al (2009) provides loss of function evidence that suppression of sleep SWRs dramatically impairs subsequent memory recall for spatial tasks. This finding is nicely complemented by several gain of function experiments. Fernandez-Ruiz et al (2019) were able to prolong ripple duration, and showed that prolongation improved performance, and conversely that shortening impaired performance. This may explain why novel situations naturally evince longer duration ripples.
https://kevinbinz.com/2021/12/30/sharp-wave-ripples-and-memory-retrieval/
https://www.youtube.com/watch?v=a8rbCJ8JSd0&t=41s There's a longer version of this video in supplementary materials of the paper.
2. The SPEAR model, which associates peak of theta wave with past encoding vs trough with future predictions is one of the most extraordinary facts I know.
https://kevinbinz.com/2021/12/09/the-theta-gamma-neural-code/
3. The link between respiration-entrained rhythms and volition.
https://kevinbinz.com/2022/07/24/the-rhythms-of-anxiety/
4. How gamma-beta implement feedforward and feedback signals (in shallow and deep layers of cortex respectively), fully consistent with active inference models. Very strong recommendation for Earl Miller's laboratory. https://www.youtube.com/watch?v=Kqyhr9fTUjs&t=1841s