Learning Path

Fundamentals of Neuroscience → Simulation Project: Cortical Network

This learning path equips computational neuroscience students with the knowledge and skills to simulate neural systems at scale. It covers the mathematical foundations of neuron models, the use of simulators like NEURON and NEST, and the parallel computing techniques required for large-scale simulations. The path progresses from single-neuron dynamics to network-level simulations, culminating in hands-on projects that address real-world computational challenges.