@numole.bsky.social
A new PhD position in Cognitive Neuroscience just opened up in our lab @brainnetleipzig.bsky.social at @mpicbs.bsky.social !
Apply if you're interested and/or share with your network 😊🧠
www.mpg.de/25427952/phd...
🧠⚡ We present a biophysically grounded framework coupling realistic neuron morphologies to TMS.
Our model links direct axonal activation from L2/3 to L5 corticospinal neurons, revealing direction- & dose-dependent spatiotemporal patterns.
www.biorxiv.org/content/10.1...
Very nice having the change to integrate novel #TMS #dosing in a study on conceptual processing 🙌
24.05.2025 15:27 — 👍 5 🔁 1 💬 0 📌 0
In case you need a proxy for head circumference for your #NIBS meshes: pynibs.head_circumference() should do the trick.
#TMS #SimNIBS
gitlab.gwdg.de/tms-localiza...
"...pleased to inform you that your article, "Consensus guidelines for the use of concurrent TMS-fMRI in cognitive and clinical neuroscience", has now been accepted and sent to our Production department and should soon be published in Nature Protocols."⚡🎈🤘 OG preprint here: osf.io/preprints/ps...
21.03.2025 17:56 — 👍 21 🔁 9 💬 3 📌 0Our #preprint on heart-brain coupling by TMS came just a little too late for the #BrainStimConf, it would've fit very well: #TMS, great stats ( #lme4 and #gam), repeatability checks, multiple targets - all the good stuff!
27.02.2025 06:34 — 👍 7 🔁 2 💬 0 📌 0
Found a text-book-like stats example in (real) dataset of mine:
group level: 🔺 correlation
individual level: 🔻 correlations
#stats #R #ggplot #TMS
Welcome #crew ♥️
27.01.2025 17:16 — 👍 3 🔁 0 💬 0 📌 0Great preprint from @philkuhnke.bsky.social et al., glad we could integrate the E-field based #TMS dosing approach here 🙏
Also a another nice example how important it is to look at individual stimulation strength - well done!
