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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-based skills for managing 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 behavior. Additionally, you will gain expertise in reproducible workflows, performance optimization, and creating clear, publication-quality visualizations and reports to support strong data-driven insights.

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 quickly.
  • Neural decoding: train robust classifiers and measure accuracy with confidence.
  • Dimensionality reduction: apply PCA and manifolds to understand 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 where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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