4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Computational Neuroscience Course provides practical, code-focused skills to manage real neural datasets. You'll learn to load and preprocess spikes and calcium signals, build and validate decoders, model population dynamics, and connect simulations to behaviour. You'll also gain expertise in reproducible workflows, performance optimisation, and clear, publication-ready visualisations and reports for solid data-driven insights.
Elevify advantages
Develop skills
- Neural spike analysis: build PSTHs, rasters, and tuning curves in minutes.
- Population modelling: simulate rate and LIF networks that match real PSTHs quickly.
- Neural decoding: train robust classifiers and measure accuracy with confidence.
- Dimensionality reduction: apply PCA and manifolds to interpret neural dynamics.
- Reproducible pipelines: organise 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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