This tutorial walks participants through the application of dynamic causal modelling (DCM) to fMRI data using MATLAB. Participants are also shown various forms of DCM, how to generate and specify different models, and how to fit them to simulated neural and BOLD data.
This lesson corresponds to slides 158-187 of the PDF below.
This lesson provides instructions on how to build and share extensions in NWB.
Learn how to build custom APIs for extension.
This tutorial covers how to handle writing very large data in PyNWB.
This lesson provides a tutorial on how to handle writing very large data in MatNWB.
This lesson demonstrates how to use MATLAB to implement a multivariate dimension reduction method, PCA, on time series data.