holy crap you guys are writing these faster than I can read them.
super cool, this was the dream experiment / data for us in 2016, and great to see more nuances parsed out with this resolution of data!!
I'll push your supplements and gifs
G(ao)-Unit
not yet, not before I get my Stanford affiliation
oh I think I will like this one very much...except I'm giving a seminar on the same day, potentially on the same topic lol
this is literally the most beautiful thing I've ever seen
damn that's a crisp story, very cool
Real expertise. Real students. Real impact. Volunteer to create Computational Neuroscience course material on time series analysis and signal processing.
We are building out a new curriculum day for our #ComputationalNeuroscience course focused on time series analysis and #SignalProcessing. We're looking for 5-10 volunteer contributors w #CompNeuro & #DSP experience.
This is a #volunteer position. Learn more & apply: neuromatch.io/volunteer/
And even that Claude did most of the work why do they even pay you
Amazing logo
New paper out in PLOS Computational Biology!
We introduce iSTTC, a robust method to estimate intrinsic neural timescales from single-unit recordings.
Congrats to Irina Pochinok for leading the project!
Package: github.com/iinnpp/isttc
Paper: journals.plos.org/ploscompbiol...
I want one but in log-log
Oh cmon guys I’m nice to you both
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
