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Computational Neuroscience Course

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

What will I learn?

This Computational Neuroscience Course equips you with practical, code-based skills to manage real neural data. You will learn to load and preprocess spike and calcium signals, develop and test decoders, model population dynamics, and connect simulations to behaviour. Additionally, you will gain expertise in reproducible workflows, performance optimisation, and creating clear, publication-quality visualisations and reports for solid, data-backed 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 understand neural dynamics.
  • Reproducible pipelines: organise 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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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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