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Computational Neuroscience Course

Computational Neuroscience Course
4 to 360 hours of flexible workload
valid certificate in your country

What Will I Learn?

This Computational Neuroscience Course gives you practical, code-focused skills to handle real neural datasets. Learn to load and preprocess spikes and calcium signals, build and validate decoders, model population dynamics, and link simulations to behavior. You also master reproducible workflows, performance optimization, and clear, publication-ready visualizations and reports for robust data-driven conclusions.

Elevify Differentials

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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The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. A lot of valuable information.
WiltonCivil Firefighter

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