Computational Neuroscience Foundations with Neuroblox and Julia

Computational neuroscience allows us to simulate the inner workings of the brain, but translating complex biological theories into working code can be challenging. This text-based course demystifies the process, showing you how to model neural dynamics using Julia and the modular Neuroblox framework. You will progress from understanding foundational neuroscience concepts to building your own simulated brain circuits. Through structured written explanations and code exercises, you will learn how to model single-neuron activity, simulate synaptic plasticity, and analyze how external interventions affect neural pathways. What you'll learn: - Understand the core principles of computational neuroscience and neural modeling. - Write clean Julia code to simulate biological neural networks and brain dynamics. - Assemble modular building blocks to construct custom neural circuits and compare hypotheses. - Apply modern data-fitting techniques to align simulated models with real neural data. - Explore how targeted stimulation and pharmacological interventions impact circuit behavior. - Practice debugging and optimizing simulation code using modern Julia environment workflows. The course begins with essential terminology and the biological foundations of neural modeling before moving into hands-on code construction. You will work through detailed written walkthroughs that guide you from simple single-cell models to complex, multi-layered brain networks. This course is designed for beginners interested in brain science, cognitive modeling, or computational biology, and no prior programming experience is required. Start reading today to begin simulating the wonders of the human brain.