Posts by Year – 2023

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.
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some of these rhythms are quite hard to see with non-invasive recording modalities! pic.twitter.com/n5QkJFR0kc

a hello world example with an analog computer: Euler spiral 🙂

the different wires connect different small computing elements (integrators, inverters, multipliers). knobs allow changing model parameters on the fly. the two output variables are visualized on the xy-plane. pic.twitter.com/2tBC76Fete

we often use Fourier analysis (=sinusoids) to represent brain signals. does this mean that there are many sine oscillators in the brain (1 per frequency)? we can also use triangular functions to reconstruct the signal. so are there 1000 tiny triangular oscillators in the brain? pic.twitter.com/P1b3CTg4gw

when recording from the brain using MEG, distance to the sensors is crucial in determining the signal. here is a fun test we ran when presenting auditory stimuli: squeezing the participant close to the sensors results in quite a boost in evoked response amplitude. pic.twitter.com/kAuARUFHCs

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. pic.twitter.com/pA2uz4LFJ4

I saw lots of beautiful beta-rhythm work lately! there is one specific aspect which I find non-optimal: in the human brain, there are also lots of alpha-rhythms, which may produce harmonics in the beta-band. I wrote about it here in this short article: https://t.co/DjRwLvYbKi pic.twitter.com/DHT12h6FML