Nikolai Kapralov

underappreciated concept 🙂

for more dipoles: neighboring dipoles have different orientations & can have different stimulus preferences. so even though topographies look similar, subtle differences remain. maybe that's why it is possible to decode information from relatively few sensors?

The angle of the dipole obviously matters. If active dipoles in two conditions are slightly misaligned, a difference can be observed. However, this difference is not driven by differences in amplitudes, but only by differences in orientations. Here, I simulated such a scenario.
#brainmovies

Nine subcortical/cerebellar atlases included in the subcortex_visualization Python package (and subcortexVisualizationR package in R). The atlases are depicted in two-dimensional vector graphic format.

The extended version of my thesis procrastination project/subcortex visualization package is out now in both Python and R, now that I’ve graduated 🤠 This figure shows the 9 atlases included (and counting)!

Preprint: www.biorxiv.org/content/10.6...
Website: anniegbryant.github.io/subcortex_vi...

main goal for this year: find a new job! 🙂

looking for a role with fun & complex technical challenges & within a great community. my main expertise is in signal processing/EEG/MEG, but topic-wise I am quite flexible.

science/industry both great! starting mid-year. nschawor.github.io/cv

Some ripples result from filtering 1/f noise (because when you filter noise you always get oscillations). Somewhat expected, but nice to have it spelled out and thoroughly investigated.👍

The EEGManyPipelines Dataset: Metascientific Data on 168 Independent Analyses of a Single EEG Dataset: https://osf.io/c4xwg

All simulations for this study were implemented using our MEEGsim package (meegsim.readthedocs.io/en/stable). At this year's PracticalMEEG workshop, we also hosted a tutorial on how to use MEEGsim, and the materials are available online for you to explore: github.com/ctrltz/meegs...

Our new preprint on promises and caveats of the extraction of M/EEG activity from ROIs is out (see more details in the reposted thread): www.biorxiv.org/content/10.6...

Huge thanks to @studenova.bsky.social, Ruben Eguinoa, Guido Nolte, @sparsity.bsky.social, Arno Villringer, and Vadim Nikulin!

Stylized logo of the MindBrainBody Symposium

*13th MindBrainBody Symposium*

📆 Mar 9-11, 2026
🏠 #Berlin & virtual
(deadline: Jan 8, 2026)

Keynotes:
- @ulrikebingel.bsky.social
- Karl Friston (online)
- @tinalonsdorf.bsky.social
- Sonja Kotz
- Julian Thayer

...& so much more: prizes, posters, talks, food, drinks, encounters.

Let's meet!

Please share! - 🚨⚠️ PhD position alert ⚠️🚨 - Please share!

Come work with @ldeserno.bsky.social and yours truly on an exciting DFG-funded project on the neurocognitive mechanisms of (noise in) learning and decision-making in development and ADHD!

I am delighted to share our NeurIPS paper "Correcting misinterpretations of additive models" [1, 2] to be presented by Benny Clark in San Diego.

[1] openreview.net/pdf?id=2ClM0...

[2] recorder-v3.slideslive.com?share=107448...

Preparing for launch 🚀

👉 See edia-toolbox.github.io for details.

Noise as a Signal – A New Electrical Signature of Parkinson’s Disease Noise as a Signal – A New Electrical Signature of Parkinson’s Disease

Noise as a Signal – Moritz Gerster, Vadim Nikulin & Arno Villringer analysed data from 119 patients & discovered a new electrical signature of #Parkinson’s Disease, now published in @ebiomedicine.bsky.social: www.cbs.mpg.de/2412209/2025...
#parkinsontherapy #clinicalstudy

Now out in @ebiomedicine.bsky.social!

📖 Read the open-access article: authors.elsevier.com/sd/article/S...

#Neuroscience #Neurology #Parkinsonsdisease #Parkinsons #DeepBrainStimulation #DBS #Neurotechnology #Neuromodulation #Neurophysiology #BasalGanglia #OpenScience #Reproducibility

learn about advanced electrophysiology-related toolboxes (>20 to choose from) at this online event, in lectures or hands-on tutorials:
📅 Wednesday, October 30th at 2 pm (CET)
cuttingeeg.org/practicalmee...

very cool concept! 🙂 free but registration required.
#PracticalMEEG2025

How well do classifiers trained on visual activity actually transfer to non-visual reactivation?

#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!

Fully funded PhD position via imprs-is

A mobile EEG/EyeTracking setup

EEG system photographed with backlight and glowing electrodes

S-CCS Lab PhD Position

3+2 year 100% TVL-13 position in '26 - open topic on the intersection of combined EEG-EyeTracking, Statistical Methods, Cognitive Modelling, VR/Mobile EEG, Vision ...

Apply via Max-Planck IMPRS-IS program until 2025-11-16 imprs.is.mpg.de

Read: www.s-ccs.de/philosophy

I always learned a great deal from simulating data (aka mostly how things don't really work the way they are advertised 🙃).

so I can definitely recommend playing with this toolbox for simulating EEG/MEG sources with desired properties (location, coupling) for connectivity. ⬇️

Nick (@willenjoy.bsky.social) is obsessed with signal-to-noise ratio (SNR). And for good reason! It could explain many results. Our simulation toolbox meegsim enables setting up SNR of individual sources as well as SNR of all signal sources with respect to all noise sources.
meegsim.readthedocs.io

As part of the Toolbox Bouquet, @studenova.bsky.social and I will host a workshop on simulations of M/EEG activity and connectivity with the MEEGsim toolbox! You’re very welcome to join us on Oct 30th between 2 and 5pm 😉

More details will follow soon 🔜

Preprint: www.biorxiv.org/content/10.1...

Code: github.com/neurotuning/...

We (I and @willenjoy.bsky.social) created a toolbox for simulations of EEG/MEG because we needed to simulate data. Our initial aim was to simulate connectivity. For this short clip, I simulated two sources with phase connectivity using our toolbox.
#brainmovie
meegsim.readthedocs.io/en/stable/in...

Open Social — overreacted The protocol is the API.

i wrote about atproto and why it matters

Simulations are fun! Especially with the right tools😉.
@willenjoy.bsky.social and I (with support from Mina Jamshidi) made a toolbox for simulating EEG/MEG data
meegsim.readthedocs.io
I put together a quick simulation using it for this short clip. Took me 10 minutes (no, really!)
#brainmovies

Do you want to simulate EEG/MEG but don't know where to start? Don't start with ChatGPT, start with *pip install meegsim*.
We (me and @willenjoy.bsky.social) have just released v.0.0.2. Our toolbox generates EEG/MEG using template waveforms with ground truth source activity.
meegsim.readthedocs.io

Could the diversity of findings in heartbeat-evoked response (HER) research be due to variability in methods?

In our new preprint my co-first authors, Maria Azanova and @willenjoy.bsky.social, and me systematically reviewed 132 M/EEG HER studies and found:

Are you sure that your Heartbeat Evoked Potential (HEP) effect is real?
In our new paper, we show that task-evoked activity can overlap with HEPs, creating false positive effects - unless you correct for it.

Voluntary movement initiation is associated with cardiac input in Libet's task. https://www.biorxiv.org/content/10.1101/2025.06.06.658322v1

Reinvent the Wheel | Matthias Endler One of the most harmful pieces of advice is to …

It's good to reinvent the wheel sometimes!
endler.dev/2025/reinven...
Great post by Matthias Endler.

It helps understanding how wheels work, how you can fix them when broken, how to make better wheels if really needed, or how to find creative use cases for wheels by thinking outside the box.