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#reservoircomputing — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #reservoircomputing, aggregated by home.social.

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  1. For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
    dx = np.sin(y) - b * x
    dy = np.sin(z) - b * y
    dz = np.sin(x) - b * z
    x += dx * dt
    y += dy * dt
    z += dz * dt
    3k neurons yet 67% correlation. Here is the code for you github.com/alecrimi/magic_rese

  2. Li #attractor=chaotic vibes like Lorenz/Chen use its wild dynamics for #ReservoirComputing to process time series.
    The truth: just use it because it looks cool⚔🏴‍☠️🌊
    def dequan_li(x,y,z):
    dx = a*(y - x) + y*z
    dy = b*x - x*z+y
    dz = c*z + x*y/3
    return dx,dy,dz

  3. Summer ☀️ read on Computo: a new publication on reservoir computing in R!

    Reservoir computing is a machine learning approach that relies on mapping inputs to higher dimensional spaces through a non-linear dynamical system (the reservoir), for example using a deep recurrent neural network and training only its final layer.

    In this new publication, Thomas Ferté and co-authors Kalidou Ba, Dan Dutartre, Pierrick Legrand, Vianney Jouhet, Rodolphe Thiébaut, Xavier Hinaut and Boris P. Hejblum present the reservoirnet package, which is the first implementation of reservoir computing in R (rather then the existing Python and Julia).

    The article also serves as an introduction to reservoir computing and illustrates its usefulness as well as the usage of the package on several real-case applications, including forecasting the number of COVID-19 hospitalizations at Bordeaux University Hospital using public data (epidemiological statistics, weather data) and hospital-level data (hospitalizations, ICU admission, ambulance service and ER notes). On this example, the authors also show how the weights of the connection between the input and the output layers can be used to compute feature importances.

    The paper and accompanying R code are available at doi.org/10.57750/arxn-6z34

    reservoirnet is available at cran.r-project.org/package=res

    #machineLearning #reservoirComputing #Rstats #openScience #openSource #openAccess

  4. Die #DeutschePhysikalischeGesellschaft hat auf ihrer Frühjahrstagung der Sektion #KondensierteMaterie drei Physiker mit Forschungspreisen für ihre wissenschaftlichen Arbeiten an der #UniMainz ausgezeichnet.

    🎉 Herzlichen Glückwunsch an Dr. Libor Šmejkal zum Walter-Schottky-Preis 2025, an Dr. Robin R. Neumann zum INNOMAG Dissertationspreis 2025 und Grischa Beneke zum INNOMAG Master-Preis 2025 👉 phmi.uni-mainz.de/auszeichnung

    #Physik #Altermagnetismus #Magnonen #ReservoirComputing

  5. Updates on the 🧠#brain effective connectivity library.
    1. Added #Reservoircomputing causality as nonlinear #Granger:
    github.com/alecrimi/effconnpy/
    2. Now lables on to the nodes
    3. Added directionality shown with colors from blue to white (white as the arrows)
    github.com/alecrimi/effconnpy/

  6. #simplicialcomplex + #Causality +#Reservoircomputing:
    "Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction" nature.com/articles/s41467-024

    #dynamicalsystem #ML #AI

  7. High-Speed Reservoir Computing With Integrated Laser Graded Artificial Neurons - So-called neuromorphic computing involves the use of physical artificial neurons t... - hackaday.com/2025/03/13/high-s #reservoircomputing #neuromorphic #science

  8. Erfolg beim energiesparenden Computing mit magnetischen Wirbeln: Brownsches #ReservoirComputing ermöglicht, Handbewegungen mit den Bewegungen eines Skyrmions zu erkennen // #Physik #Spintronik #Skyrmionen #Computing #TopDyn
    @NatureComms @uni_mainz
    nachrichten.idw-online.de/2024

  9. Physicists @unidue laid the foundation for magnetic #ReservoirComputing 7 years ago. Now, together with Norwegian colleagues, they have developed the idea for a ferroelectric version. @NatRevPhys reports.
    nachrichten.idw-online.de/2024

  10. Physicists @unidue laid the foundation for magnetic #ReservoirComputing 7 years ago. Now, together with Norwegian colleagues, they have developed the idea for a ferroelectric version. @NatRevPhys reports.
    nachrichten.idw-online.de/2024

  11. Physiker:innen @unidue legten vor 7 Jahren den Grundstein für magnetisches #ReservoirComputing. Jetzt entwickelten sie mit norwegischen Kolleg:innen die Idee zur ferroelektrischen Variante. @NatRevPhys berichtet.
    nachrichten.idw-online.de/2024

  12. with J.F. Roget, A. Onicas and F.Sarpong we got accepted to present @ #cosyne, see in Purtugal in February: "A systematic approach to unravel causal interactions in large #neuralsystems and #brain networks with #reservoircomputing", an evolution of biorxiv.org/content/10.1101/20 #neuro