Natalie Schaworonkow
@nschawor
Followers
5K
Following
4K
Media
345
Statuses
1K
investigating electric waves in the brain, thinking about visualization, interfaces, art & beauty with computers. new home ▶️ https://t.co/x4ZAZejVIA
Frankfurt am Main, Germany
Joined January 2015
made a new website: (containing EEG/MEG/LFP demos & animations)
10
77
363
RT @davidpoeppel: I'm leaving @ESI_Frankfurt. I’ll miss the huge group of kind smart hardworking 95% who make it so promising. But relieved….
0
28
0
I had fun soldering some spikelings some time ago, essentially the same idea but larger, the physical knobs are nice: want to come back to hardware projects, but the lack of time. 😶.
built a spikeling: a model neuron that runs on a small arduino nano chip & can fire action potentials. for instance, by shining light on a photodiode the neuron can be excited (1st half of video) or inhibited (2nd half). love the sound output!
0
0
5
leak potential & time constants can be changed with a tiny screw driver. 🙂🪛can also be connected with other units to form little networks for dynamics demos. open source + more info here:
1
2
16
coolest conference souvenir: electronic neuron circuit lu.i . on this board: an implementation of a leaky integrate and fire neuron, with the membrane voltage visualized with LEDs (or connect an oscilloscope to see the traces).
4
18
118
if you are at the Bernstein conference, come to our poster on Tuesday to chat about the alpha-rhythm + models of it!. (over the past weeks, I've been coming up with increasingly outlandish excuses to @_rdgao for not working on the poster. 🙃 but hey, the colors look nice!).
At Poster III-73, friends turned collaborators @nschawor & @_rdgao will talk about some very new and ongoing work: . using SBI to test how different neural mass models of alpha oscillations can capture EEG data from “Super Oscillators” + how their parameters relate to each other.
1
3
41
will be chairing the oscillations session there, looking forward to good vibes & science! 〰️🙂〰️.
Join us at the #CuttingEEGX conference!.28-31 October 2024: online + onsite.- Online: just become a member @CuttingEeg.- Onsite: 30-31 Oct at the @DondersInst .- Submit your poster. ▶️Amazing program:
1
1
28
okay, true story: once invited Richard for a talk at a conference I organized (mainly for afterparty). I had filed this work under 'weird Bayesian ML stuff' until I was forced to sit through his talk with general intro into this –and it turned to be actually extremely useful. 🥇.
My #AI4Neuro magnum opus: . Discovery of spiking network model parameters constrained by neural recordings, using simulation-based inference & generative “AI”. (aka the answer to “how the f did you end up in Tübingen?”). Here's what we have in store:.
1
1
19
now summer feels officially over, lots of sun + concerts, 1 ocean week, many evenings by the river. otherwise: written my longest reply to reviewers ever, got interviewed for TV & submitted my first Bernstein abstract. hope to see some good people for that in Frankfurt soon! 🙂
0
0
2
had a chance to visit the Danish Research Centre for Magnetic Resonance @DRCMR_MRI this week, to talk about oscillations in the brain, meet extremely cool people and snatch fancy dinner + danish IPA & the last bit of summer in Copenhagen. 🙂
2
1
16
(sometimes retweeting old stuff, when I just had a conversation about that irl) I think this is an interesting demo of how data-dependent some (all?) measures are 🙂. also related:
as spatial patterns may not be familiar to everyone, I also smuggled a few demos into the preprint (part of the ongoing project of turning tweets into publication units), showing how you can check spatial correlation structure of electrode or channel activity with them. 7/8
0
1
3
June: mild OHBM & FENS fomo, but by now the 'finish. all. projects.' song is playing on max volume in my head every day (Berlin style techno, cold & relentless) . thankful for: cool visitors & collaborators, tough but respectful reviewer comments, soccer, summer light & vibes ☀️
0
0
18
some FOMO not seeing the work of other oscillation people in that session @JanetGiehl @IM_Inman , looks like there is more interesting stuff at that time 🙂〰️
Hello Vienna! I am coming to participate in #fensforum2024 #FENS2024 and happy to present my research about a phase-stability way to detect #oscillations. Happy to chat about it or oscillations in general? DM me or come to the poster directly this Saturday, place PS07-29AM-132.
1
0
5
you are at #FENS2024 and want to talk about bat oscillations, waveform shape, bursts? .➡️ go to poster #152 @ poster session 7 on Saturday morning, where my fab colleague Francisco Garcia Rosales @fgarciaro92 can tell you about our projects involving this. 🙂
5
6
35
study #2 with tons of conditions & interesting phase response curves (Fig 4):
Using sound to modulate #brain waves. @HernHerb @inesviolante &co use closed-loop #auditory stimulation to modulate #AlphaOscillations in the human brain in a phase-dependent & spatially-specific manner, altering #sleep onset dynamics #PLOSBiology
0
2
14
2 cool studies doing auditory stimulation, depending on real-time alpha-phase:.study #1 with pretty differential evoked responses:.
Individualized closed-loop acoustic stimulation suggests an alpha phase-dependence of sound-evoked and induced brain activity measured with electroencephalogram (EEG) recordings. SUMMARY. Healthy adult brains generate alpha oscillations and individual subjects have unique
1
8
44
companion gif to this one, same problem with eye movements & low frequencies: if your most significant effects are in channels typically affected by residual artifacts (e.g. frontal/temporal), maybe double check. also the fit quality tanks at some point.
1/f-exponent & E/I-balance: while changes in synaptic time constants certainly influence spectral measures, not all changes in the 1/f-exponent can be interpreted as changes in E/I-balance: starting with the most basic things like artifacts, here shown for EEG & eye blinks.
1
1
15
influence of muscle noise on spectrum & 1/f-exponent estimation, example from EEG. generally: the more muscle noise, the flatter the spectrum at higher frequencies.
4
28
136
(maybe more later, tweets are too short to capture some complexity & nuance here. 🙃).
0
0
0
this paper has some pretty traces + figures 🌟 authors present an adjustment of spectral parametrization regarding the 1/f-part. this increases flexibility regarding presence of a spectral knee & decorrelates 1/f-parameters (offset & exponent).
1
1
3
this paper investigates the empirical spatial correlation structure for 1/f-activity using MEG and IRASA there seems to be bleed-in from strong oscillations into spatial correlation estimates, so it's definitely tricky, but imho important to study this.
1
0
2