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 datasets. 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 creating clear, publication-quality visualisations and reports to support solid data-driven insights.
Elevify advantages
Develop skills
- Neural spike analysis: construct PSTHs, rasters, and tuning curves in minutes.
- Population modelling: simulate rate and LIF networks that align with real PSTHs quickly.
- Neural decoding: train reliable classifiers and measure accuracy with confidence intervals.
- Dimensionality reduction: use PCA and manifolds to analyse neural dynamics.
- Reproducible pipelines: arrange 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.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course
