from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Computational Neuroscience Course provides practical, code-based skills for managing real neural data. You will learn to load and prepare spike and calcium signals, create and check decoders, model how groups of neurons behave, and connect simulations to actions. You will also gain expertise in repeatable processes, improving speed, and making clear visuals and reports ready for publishing to support strong, data-based findings.
Elevify advantages
Develop skills
- Neural spike analysis: build PSTHs, rasters and tuning curves in minutes.
- Population modeling: simulate rate and LIF networks that match real PSTHs fast.
- Neural decoding: train robust classifiers and quantify accuracy with confidence.
- Dimensionality reduction: apply PCA and manifolds to interpret neural dynamics.
- Reproducible pipelines: organize neural data, code, and figures for clinical research.
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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