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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?

Gain practical coding skills for neural datasets: load and preprocess spikes and calcium signals, build and validate decoders, model population dynamics, link simulations to behaviour, and master reproducible workflows, performance optimisation, and publication-ready visualisations for 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 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 my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
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