- Fernanda Selingardi (Universidade Federal de Alagoas, Brazil)
- Leonardo Gollo (Campus Universitat de les Illes Balears, Palma de Mallorca. Spain)
- Marilyn Gatica (Northeastern University London, UK)
Keywords: Neural dynamics, synchronisation phenomena, criticality in neural networks, brain network analysis, differential equations, dynamical systems
Hands-on modeling of neural systems using Python.
This course explores mathematical models used to understand, model, and analyse neural dynamics and brain function.
Topics include, but are not restricted to:
- Brain network analysis
- Applications of topology in neuroscience
- Synchronization phenomena
- Criticality in neural networks
- Applications of differential equations and dynamical systems to neuroscience
Participants will learn about the latest research and develop skills in modelling and analysing neural systems, both theoretically and numerically.
The course will include theoretical material, tutorials, and access to datasets for hands-on exploration.
| Time | Monday | Tuesday | Wednesday | Thursday |
|---|---|---|---|---|
| 09:00–10:30 | Introduction | Brain Across Scales | Higher-Order analysis | Tutorial |
| 14:00–15:30 | Single neuron Tutorial Biological Neural Networks |
Connectivity Tutorial | Brain synchronization | Brain Criticality + Cognition |
To ensure the tutorials run smoothly, please install the required packages for each part of the workshop:
- ✅ Required dependencies: numpy, scipy, matplotlib, and bctpy.
- ✅ Optional: HOI package
Feel free to clone this repository and follow along with the materials as they're released.