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Computational Neuroscience Course

Computational Neuroscience Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

This Computational Neuroscience Course provides practical, code-based skills for working with actual neural data. You'll learn to load and prepare spike and calcium data, create and check decoders, model how groups of neurons behave, and connect simulations to actions. You'll also get good at 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 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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