Computational Neuroscience Course
Gain expertise in handling neural data using practical tools from spike rasters to decoding techniques. This Computational Neuroscience Course equips neurology professionals with skills to model neural circuits, analyse population activity, and connect dynamics to diagnosis and treatment choices in clinical settings.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Computational Neuroscience Course delivers hands-on, coding-based skills for processing real neural datasets. You will learn to load and preprocess spike and calcium data, develop and test decoders, simulate population dynamics, and connect models to behaviour. Additionally, master reproducible workflows, optimise performance, and produce clear visualisations and reports ready for publication to support strong data-driven insights.
Elevify advantages
Develop skills
- Neural spike analysis: create PSTHs, rasters, and tuning curves quickly.
- Population modelling: simulate rate and LIF networks matching real PSTHs efficiently.
- Neural decoding: train reliable classifiers and measure accuracy confidently.
- Dimensionality reduction: use PCA and manifolds to analyse neural dynamics.
- Reproducible pipelines: manage neural data, code, and figures for clinical studies.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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