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Advanced Computational Neuroscience: Multiscale Problems and Methods from Cells to Whole-Brain Function

Advanced Computational Neuroscience: Multiscale Problems and Methods from Cells to Whole-Brain Function

This advanced course provides an in-depth exploration of computational neuroscience, addressing the full spectrum of neural organizationfrom subcellular processes to large-scale brain dynamics. Students will learn theoretical concepts, computational methods, and practical modeling skills that integrate biology, mathematics, physics, and computer science. The course emphasizes multiscale approaches, bridging molecular, cellular, circuit, and systems-level neuroscience.
Responsible Lieven Gevaert
Last Update 02/23/2026
Completion Time 2 hours 10 minutes
Members 1
    • Module 1 : Foundations of Computational Neuroscience Concepts, Scales, and Modeling Paradigms
    • Module 2 : Single-Neuron Modeling Biophysical and Reduced Approaches
    • Module 3 : Synaptic Dynamics and Network Computation
    • Module 4 : Large-Scale and Whole-Brain Modeling
    • Module 5 : Artificial Intelligence and Machine Learning in Neuroscience
    • Module 6 : Artificial Intelligence and Machine Learning in Neuroscience
    • Module 7 : Capstone Project Integrated Multiscale Brain Modeling
    • Quiz
      10 xp