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Computational Neuroscience Course

Computational Neuroscience Course
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. Learn to load and preprocess spikes and calcium signals, build and validate decoders, model population dynamics, and connect simulations to behaviour. You also master reproducible workflows, performance optimisation, and clear, publication-ready visualisations and reports for robust data-driven conclusions.

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 fast.
  • Neural decoding: train robust classifiers and quantify 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.
Workload: between 4 and 360 hours

What our students say

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Great course. Lots of valuable information.
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