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Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: Pair Extraordinaire

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KalelR/README.md
  • 👀 I’m a Postdoc interested in understanding the dynamics of complex systems, especially the brain.
  • 🔭 I’m currently researching dynamical mechanisms underlying computations in biological and artificial networks. I have also studied sensitivity in networks of phase oscillators, metastability in neuroscience, effects of modularity in neuronal cultures, and time-series analysis under the supervisorship of Prof. Dr. Ulrike Feudel for my PhD.
  • 🌱 I'm a contributor to open-source libraries like DynamicalSystems.jl
  • 📫 Reach me at kalelluizrossi@gmail.com or kalel.rossi@uni-oldenburg.de

My Research :

kalellrossi kalellrossi kalellrossi

My Open-Source Contributions

  • Algorithms for finding attractors and their basins efficiently in arbitrary dynamical systems (Attractors.jl)
  • YIN, a fundamental frequency estimator algorithm (ChaosTools.jl)
  • Predefined dynamical systems (DynamicalSystemsBase.jl)

 kalelr

Languages and Tools:

c c cplusplus linux matlab python

Personal stuff

  • Master's degree in Physics 🧲 🪐 🌎 ☀️
  • From Brazil 🇧🇷

Pinned Loading

  1. JuliaDynamics/Attractors.jl Public

    Find attractors (and their basins) of dynamical systems. Perform global continuation. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.

    Julia 39 6

  2. JuliaDynamics/ChaosTools.jl Public

    Tools for the exploration of chaos and nonlinear dynamics

    Julia 194 39

  3. brunorrboaretto/chaos_detection_ANN Public

    Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals

    Python 6 3

  4. JuliaDynamics/DynamicalSystemsBase.jl Public template

    Definition of dynamical systems and integrators for DynamicalSystems.jl

    Julia 56 30

  5. metastability Public

    Code for simulating and analysing systems with metastable dynamics.

    Jupyter Notebook 2

74 contributions in the last year

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Activity overview

Contributed to KalelR/PhDThesis, JuliaDynamics/Attractors.jl, KalelR/DataScienceFundamentals and 1 other repository
Loading A graph representing KalelR's contributions from March 31, 2024 to April 03, 2025. The contributions are 89% commits, 4% pull requests, 4% issues, 3% code review. 3% Code review 4% Issues 4% Pull requests 89% Commits

Contribution activity

April 2025

KalelR has no activity yet for this period.
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