If you're interested in contributing to this global summer school and get some teaching-related experience, shoot me a DM or email with what you'd like to help with and roughly how much time you can commit from now to June.
I'm at cosyne too so happy to chat there, at the NMA booth or otherwise!
For this year's Neuromatch Computation Neuroscience course, the Curriculum Team is adding a new Day 🥁🥁🥁
Time series analysis and signal processing!
We're looking for 5-10 content contributors with relevant neuro+DSP experience for various tasks: co-Day Lead, video, slides, code tutorials, etc.
* cue banger entrance music *
get paid to teach and learn about computational neuroscience (and other cool topics), highly recommend.
If you're considering it, don't hesitate, just go for it!
I'd say we hate splitters and root for the lumpers because unifying * p r i n c i p l e s *....but yeah, sadly, data don't lie
I've often had very pessimistic answers for this, but I think "new data shows that brain is much more complicated than we originally thought" is actual progress.
e.g., cortex is not homogeneous repeats of the same columns, cells are not all the same, it's not just single-neuron tuning curves, etc.
I'd have nothing to talk about on this episode if not for my paper co-authors in the @mackelab.bsky.social, as well as Pedro, Jan-Matthis, and Michael paving the way with SBI.
I'm extremely grateful for Gaute for having me on the show, especially considering the roster of previous guests.
All the work from his group advancing our understanding of the LFP has influenced me since day 1 of my PhD. They say never meet your heroes but I think this time it went pretty good.
Once you get past the first 5 minutes of me bumbling around clearly in need of media training, we settle into a nice groove talking about fitting mechanistic models, ML/AI for neuroscience, underconstrainedness vs. degeneracy, and its potential benefits for biology (plus some good chuckles).
dang you're a real fan because that's a solid who-he-play-for
I woke up today and the Detroit Pistons are first in the East. what year is this??
"borrow"?
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
please only do bird research from now on
get in before the spots run out, otherwise put your money in the betting pool
we'll take what we can get
I also had a similar interpretation as you though, that as a first approximation, "pattern-y"=dimensionality, such that spikes destructively interfere.
same argument as spatial alignment of neurons and makes sense if one knows LFP, but I like this paper because it lays it out quantitatively
I think you have a much more nuanced view of spikes and LFPs than the strawhumans in my head Ben
just my perception, but I think people claiming spikes >> LFP rarely cite empirical evidence favoring one way or the other, but make that statement reflexively.
tbc I don't think LFP >> spikes universally, the much more interesting question is when one or the other, like this paper is showing.
but good drinking
you're a butt
I have lived many lives
I will die on this hill over and over until it becomes a mountain
🔥
this reminds me of when Scott showed PAC is waveform hahah
time for the loglog fight, v2
I was working with an undergrad RA 6 years ago on a power law project, and I shit you not the meme name we came up with for the project was galaxybrain.
