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Computational Neuroscience Course

Computational Neuroscience Course
from 4 to 360h 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. You will learn to load and preprocess spikes and calcium signals, build and validate decoders, model population dynamics, and connect simulations to behavior. Additionally, you will master reproducible workflows, performance optimization, and clear, publication-ready visualizations and reports for robust data-driven conclusions.

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 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 are saying

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Really great course. Lots of valuable information.
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