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Computational Neuroscience Course

Computational Neuroscience Course
flexible workload of 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, construct and validate decoders, model population dynamics, and connect simulations to behaviour. Additionally, you will gain expertise in reproducible workflows, performance optimisation, and producing 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 understand 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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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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