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
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
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
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!
📢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
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
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).
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)
📢 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
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
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.