New 3-year post-doc position in translational EEG technologies for psychiatry. In @LucaCocchi78's group at @QIMRB_Institute, you will also be working closely with my team at Resonait, the Queensland Neurostimulation Centre and ANT Neuro. Drop me a line if you want to know more!
This was one of the most exciting and unexpected discoveries in all the many hours I've spent poring over brain data. A unifying cyclical architecture governs the activation dynamics of brain networks recorded in electrophys. Great work @mats_van_es!!
As promised, the pre-print I presented at @OHBM #OHBM2023 is here!
We found that large-scale cortical networks in MEG are activated in cycles.
Another fruitful collab with @camhiggins
@OxfordWIN @OHBA_Oxford
tinyurl.com/25b48rne
Cam Higgins retweeted
@AndrewJohnQuinn @biomag2020 - great summary of spectral changes and neural dynamics with age in big N>1000 MEG datasets. @camcan_tweets @mrccbu #meguk @CUBRICcardiff @DementiasUK valuable base for dementia research
happy as larry to see this lockdown project published. We use information theory to illustrate the relationship between neurophys signal spectra and decoding accuracy dynamics: shorturl.at/DRSX0: or skip the reading and play with simulations here: representational-dynamics.he…
How do the brain’s representational dynamics relate to dynamics in the underlying neural signals? In our new preprint, we illustrate the relationship between the frequency content of a neural signal and subsequent decoding accuracy metrics biorxiv.org/cgi/content/shor… 1/9
Thanks Vito - was an awesome night out with medtech founders, funders and friends. Great to share Resonait's plans ahead 😀
@techcentralsyd @sparkfestivalau
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Cam Higgins retweeted
New 3 yr post-doc in our Systems Neuroscience Group
"Generative models of brain disorders"
Applications open now -> July 15th
uniofnewcastle.secure.force.…
ALT https://www.nature.com/articles/s41467-019-10467-8
Cam Higgins retweeted
Beta activity (13 - 30 Hz) in motor brain areas and beta-frequency connectivity between brain and muscle are bursty💥, even during sustained behaviour!
Very excited to see this out and about: sciencedirect.com/science/ar…
Cam Higgins retweeted
University of Sydney is hiring for Cognitive Neuroscience! tinyurl.com/2p8zp5rs
Cam Higgins retweeted
The individual with this precuneus lesion experienced a dramatic change in how he perceived the passage of time after surgery of a glioma.
Minutes felt like hours… each time he would check his watch he’d be surprised how little time had passed. 👇
aaaaaaand for anyone wondering how oscillatory signals relate to decoding accuracy metrics, we now have an app for that. Awesome work by @mats_van_es
representational-dynamics.he…
Happy to share the simulator with you now!
With this tool you can see at which frequencies information is represented when using instantaneous signal (i.e. timepoint-by-timepoint) decoding, based on a raw signal made up of up to two frequency components
representational-dynamics.he…
lot of work behind this one. the future of resting state networks in M/EEG :)
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/…
aaaaaand its out. Online now in Human Brain Mapping, "STRM Models" are our new method to capture how neural activity patterns in M/EEG experiments vary over both space and time across different trials: doi.org/10.1002/hbm.25835
Check out our latest methods preprint - introducing a new approach to MVPA that allows you to simultaneously resolve where (in space) and when (in time, on single trials) distributed stimulus-evoked activity patterns emerge... 1/8 biorxiv.org/cgi/content/shor…
How do the brain’s representational dynamics relate to dynamics in the underlying neural signals? In our new preprint, we illustrate the relationship between the frequency content of a neural signal and subsequent decoding accuracy metrics biorxiv.org/cgi/content/shor… 1/9
Results; we show in MEG data that by including this information, we obtain decoding accuracy that is much higher and more stable over time than is otherwise inferred. 8/9
Coming soon, a toolbox to play around with simulations and see how signals with different frequency profiles translate to representational dynamics. With @mats_van_es , @neurovidaurre ,@AndrewJohnQuinn and @markwoolrich