Published:
in auditory paradigms using MEG, peak activation is over temporal sensors. with EEG, curiously often peak activation is on vertex channels. 🤔
— Natalie Schaworonkow (@nschawor) March 18, 2024
it feels counterintuitive, given the distance from source, right? but it is expected, as this simulation with 2 active dipoles shows. pic.twitter.com/P91W2bEmg8
Published:
waveform shape of oscillations can reflect properties of underlying spiking dynamics. if neuronal units fire in synchrony, the local field potential can be more asymmetric (here: sharp troughs).
— Natalie Schaworonkow (@nschawor) March 7, 2024
read about this & cool bat rhythms 🦇 in our new paper: https://t.co/rf5et9Wy9q pic.twitter.com/pTJM8kDDNW
Published:
Fourier Transform: transform time-domain signals into the spectral domain, easy. but why use only these two domains?
— Natalie Schaworonkow (@nschawor) February 23, 2024
➡️ fractional Fourier Transform, for transform into the space in between. time domain – alpha=0; spectral domain – alpha=1, other alphas: a strange world. 🙃 pic.twitter.com/3hvJu4oS2k
imagine the regular Fourier transform as a 90° rotation in time-frequency plane, so fractional Fourier transform let's you rotate all around.
— Natalie Schaworonkow (@nschawor) February 23, 2024
could be used to reduce frequency-varying noise.
you see that I have trouble to label axes, as time morphs to ??? morphs to frequency. 🤔 pic.twitter.com/hjq0nTBZSb
Published:
intracranial activity from the awake but resting human brain in the delta-frequency band (1–4 Hz), a couple of bursting cycles, not a sustained rhythm. pic.twitter.com/36NNQm9mKc
— Natalie Schaworonkow (@nschawor) February 15, 2024
Published:
simulated a bursting neuron, using an analog circuit. 🙂 (had to buy more cables for this one). pic.twitter.com/lxfO9QcsLe
— Natalie Schaworonkow (@nschawor) January 31, 2024
Published:
updated for 2024: list of summer schools & short courses in the realm of (computational) neuroscience or data analysis of EEG / MEG / LFP and the like: 🔗 google sheet.
Published:
intracranial EEG data from the human brain features extremely rich dynamics. this is a scan through frequency space to find pronounced oscillations in different regions.
— Natalie Schaworonkow (@nschawor) November 14, 2023
〰️🙂〰️
some of these rhythms are quite hard to see with non-invasive recording modalities! pic.twitter.com/n5QkJFR0kc