Alexis Arnaudon

[Nolan D. Hartley @Noldoggs11]

Pleased to share a new preprint of our collaborative effort with Sean Hill’s lab and @BlueBrainPjt led by Dr. Polina Litvak.

https://t.co/sDYmEHciko

[Dhruv Saxena @saxedh]

New paper from our team @imperialcollege @IBMEurope @TheAnnaFischer @r1cc4rd0 @KEMoselund We made a laser with a network topology that is highly sensitive to pump illumination to enable applications in machine vision and signal processing. More here: https://t.co/enSR7ZKf0C

[Alexis Arnaudon @arnaudon]

New paper out on lasing networks led by @saxedh ! https://t.co/6F3Rh1LQCw

[EPFL Blue Brain Project @BlueBrainPjt]

Saturday morning June 29, Blue Brain scientist @arnaudon is presenting their poster at #FENS2024 - Controlling morpho-electrophysiological variability of neurons with detailed biophysical models - Come for a chat!

More info: https://t.co/eLM8oTKCVy

[Paul Expert @ExpertPol]

Dysco: a unified and ultrafast dynamical functional connectivity spectral analysis framework (https://t.co/TcqQQd1bWb)

Led by @GAlteriis and @Olitob123 with @Joana_Cabral__ @leechbrain and the one and onlyFet Turkheimer

The toolboxes (Matlab & Python): https://t.co/GAwDDxbsr8

[Maxime Lucas @maximelca]

Finally out in Chaos, congrats @MarcoNurisso !
https://t.co/X8HA4YXTdo

[Alexis Arnaudon @arnaudon]

All you ever wanted to know about the Kuramoto model ! https://t.co/f9Dhc42P4i

[Alexis Arnaudon @arnaudon]

Just accepted paper on ACM TOMS on a little code for multiscale clustering! https://t.co/ZwOOmyV8JD (the code is here: https://t.co/tNwYUv5iYS)

[Alexis Arnaudon @arnaudon]

I am co-editing this special issue on Higher-order brain networks, submission of all kinds are very welcome! https://t.co/oFk8PfWJWH please pm and RT if interested!

[EPFL Blue Brain Project @BlueBrainPjt]

📢New Publication Alert! Our paper "Cortical cell assemblies and their underlying connectivity: An in silico study" is out in @PLOSCompBiol.
We plunge into the world of cortical connectivity to understand the formation of functional cell assemblies.
👉https://t.co/rL6dKamQi5

[Austin E. Soplata, PhD @asoplata]

I've also compiled all open computational neuroscience resources I can find on the web: https://t.co/u5ApYHesso Contributions welcome!

[Adam Gosztolai @AGosztolai]

We are #hiring for ML researcher/computational neuroscientist at BSc/MSc level at Medical University of Vienna. Message me if you're interested in joining our team. We are attending COSYNE 2024 if you would like to meet! #cosyne2024 #cosyne24

[Alexis Arnaudon @arnaudon]

New code released! https://t.co/37m0wJNdpM for anyone needing a generalisation of Pandas `.apply` to run massively in parallel on large HPC systems (or just on a small laptop ofc).

[Maria Reva @maria__reva]

Our cover in Cell Patterns @Patterns_CP today pretty much says it all about our recent work: we've been busy building and testing detailed single cell models for various neuronal types (1/2)

[EPFL Blue Brain Project @BlueBrainPjt]

📢 Embracing variability: Nature's safeguard against chaos! Our latest study pioneers detailed #biophysical #neuron models, unraveling the intricate interplay between shape and function via #MCMC parameter sampling.
#simulation #neuroscience

👉iScience - https://t.co/GwjcNIPtNa

[Alexis Arnaudon @arnaudon]

The paper on MCMC sampling of electrical models of cortical neurons is out in iScience! https://t.co/DQ0D8gp2O6

[EPFL Blue Brain Project @BlueBrainPjt]

Just out! Groundbreaking universal workflow to build robust #biophysical models of any neuronal type. SSCx neuronal models demonstrated. Based on #opensource tools & all steps freely available.
#neuroscience #electrophysiology
Read the paper in Patterns - https://t.co/gorgXctbpA

[Alexis Arnaudon @arnaudon]

Electrical model paper is out in Cell Pattern! (led by @maria__reva!) https://t.co/rOHkqEmraQ

[Adam Gosztolai @AGosztolai]

Our *new preprint* shows how to define Gaussian processes for data over unknown manifolds. You will find our method useful if you study neural manifolds but only have sparse single-cell data or with low-res neuroimaging data (eg EEG), but you want high-quality vector fields.

[Giovanni Petri @lordgrilo]

👇👇👇👇