COMPUTATIONAL NEUROSCIENCES
Universiteit Antwerpen (UA)
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Summary Computational Neuroscience & Neuroinformatics
- Summary • 211 pages • 2023
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Extensive summary of the course Computational Neuroscience & Neuroinformatics
Includes the part of prof. Adhikari, prof. De Vos and prof. Bruffaerts
- Frequency Analysis, Filtering, Convolution, Principal Component Analysis, Independent Component Analysis
- Analysis of task based functional magnetic resonance imaging
- Analysis of dynamic functional connectivity from resting state fMRI data
- In-vivo imaging and whole brain imaging
- Neural networks
Summary
Summary Computational Neuroscience & Neuroinformatics
Last document update:
ago
Extensive summary of the course Computational Neuroscience & Neuroinformatics Includes the part of prof. Adhikari, prof. De Vos and prof. Bruffaerts - Frequency Analysis, Filtering, Convolution, Principal Component Analysis, Independent Component Analysis - Analysis of task based functional magnetic resonance imaging - Analysis of dynamic functional connectivity from resting state fMRI data - In-vivo imaging and whole brain imaging - Neural networks
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