Mark Woolrich retweeted
Are you interested in studying networks and dynamics in your neuroimaging data?
Do you wish there was an open source Python toolbox that made this easy?
If so, check out our brand new toolbox: osl-dynamics (github.com/OHBA-analysis/osl…).
Mark Woolrich retweeted
The toolbox paper: elifesciences.org/articles/9… shows the dynamic functional networks you can detect in electrophy data and how you can use osl-dynamics to detect oscillatory bursts in single channel data.
Mark Woolrich retweeted
New paper!🧠🌊
Cross-frequency interactions in non-sinusoidal oscillations are ambiguous. This is b/c of harmonics, but what *exactly* is one? Read to find out!
See preprint thread for more info, full paper includes cool new figures & open source tools⬇️
doi.org/10.1109/ojsp.2022.31…
New preprint! 🧠🌊
Neuro data is often non-sinusoidal & has harmonics in the spectrum. But what *exactly* is a harmonic? W/ @markwoolrich , @kwarnaby, & @AndrewJohnQuinn we formalise this using instantaneous frequency and link to simulations & data. 🧵1/7
biorxiv.org/content/10.1101/…
Mark Woolrich retweeted
If anyone is curious about optically pumped magnetometers and their use in MEG, hopefully this @TrendsNeuro review paper might be helpful!? Massive thanks to the @trendsNeuro editor, and of course the @UoN_MEG gang for all the help putting this together. doi.org/10.1016/j.tins.2022.…
Mark Woolrich retweeted
Next generation Dynamic Network Modes; Using deep learning to go beyond the HMM...
I hope everyone is ready for this!
Massive congrats to @ChetanG83095127 , Evan Roberts, @blobsonthebrain @markwoolrich and co-authors.
@OxfordWIN @OxPsychiatry
biorxiv.org/content/10.1101/…
Mark Woolrich retweeted
Cameron at his highest. Retiring from academia like Michael Jordan did from basketball (the first time)
The relationship between frequency content and representational dynamics in the decoding of neurophysiological data biorxiv.org/cgi/content/shor… #bioRxiv
Mark Woolrich retweeted
Very excited to share our new paper out in @eLife with Yu Takagi, @LHuntNeuro, Mark Woolrich, and @behrenstimb elifesciences.org/articles/6…
Mark Woolrich retweeted
"Connectomics of Human Electrophysiology"
for your enjoyment & feedback.
A true pleasure working on this review & position piece w/ @CONNECTlab_UIUC & @MattBrookesMEG.
psyarxiv.com/dr7zh/
Mark Woolrich retweeted
Non-sinusoidal shape is an important feature of neuronal oscillations - rich dynamics are visible by eye but hard to analyse...
Glad to present our preprint using EMD, instantaneous frequency and phase-alignment to quantify single-cycle shape profiles!
biorxiv.org/content/10.1101/…
Mark Woolrich retweeted
NEW Unit Paper | EMD: Empirical Mode Decomposition and Hilbert-Huang spectral analyses in Python. Out now in @JOSS_TheOJ. Great collab w/ @OxfordWIN @OxExpPsy. New tools for analysing brain oscillations. @NDCNOxford @The_MRC @OxNeuro joss.theoj.org/papers/10.211…
Mark Woolrich retweeted
Our work out now in the current edition of Neuron @NeuroCellPress: with @markwoolrich @behrenstimb Ray Dolan @neurovidaurre @YunzheNeuro @zebkDotCom
Mark Woolrich retweeted
Our preprint on oscillatory network analysis with Spatio-Spectral Eigenmodes is up on #biorxiv_neursci biorxiv.org/content/10.1101/… @OxfordWIN @OxPsychiatry @UOY_YNiC
This was a long journey – My first git commit for this project in was in August 2014.... #BetterLateThanNever
Mark Woolrich retweeted
Ridiculously I forgot to link the paper in this tweetstorm. Here it is:
biorxiv.org/content/10.1101/…
Tweetstorm on behalf of twitterless Cameron Higgins and @markwoolrich.
Our brains at rest spontaneously replay recently acquired information. How is this process orchestrated to avoid interference with ongoing cognition?

















