ziaeemehr / cmnm Goto Github PK

I'm Abolfazl Ziaeemehr, highly passionate about neural dynamics, complex systems, and simulations. As a computational neuroscientist, I specialize in developing Bayesian methods to study whole-brain network dynamics. I also have expertise in deep learning techniques, which I've applied to analyze EEG/MEG/fMRI data from both rats and humans. Below, you can explore my projects, research, and contributions.

My CV.

📚 Research Papers Repositories:

• SBI_VBM
  • Hashemi, M., Ziaeemehr, A., Woodman, M.M., Fousek, J., Petkoski, S. and Jirsa, V., 2024. Simulation-based inference on virtual brain models of disorders. Machine Learning: Science and Technology.
• Frontiers 2021
  • Ziaeemehr, A. and Valizadeh, A., 2021. Frequency-resolved functional connectivity: role of delay and the strength of connections. Frontiers in Neural Circuits, 15, p.608655.
• Neural Network 2020
  • Ziaeemehr, A., Zarei, M., Valizadeh, A., andMirasso, C.R. (2020). Frequency-dependentorganization of the brain’s functionalnetwork through delayed-interactions.Neural Network. 132, 155–165.44.
• Scientific Reports 2020
  • Ziaeemehr, A., Zarei, M. and Sheshbolouki, A., 2020. Emergence of global synchronization in directed excitatory networks of type I neurons. Scientific reports, 10(1), p.3306.

• netsci: Network Science by Albert-László, 2016
• spikes: Spikes, decisions, and actions, Wilson, 1999
• jitcsim : Simulation of complex network dynamics with Ordinary/Delay/Stochastic differential equations (just-in-time compilation).
• mndynamics Stanalone python package for An Introduction to Modeling Neuronal Dynamics - Christoph Borgers.

• Programming Languages:

  • Python
  • C++
  • Julia

• Simulation Tools:

  • Brian2
  • NEST Simulator
  • Kuramoto Simulator

• Email: A.Ziaeemehr [at] gmail [dot] com
• Email: abolfazl.ZIAEE-MEHR[at]univ-amu[dot]fr