The Gaussian-Linear Hidden Markov model: a Python package

1 code implementation • 12 Dec 2023 • Diego Vidaurre, Nick Y. Larsen, Laura Masaracchia, Lenno R. P. T Ruijters, Sonsoles Alonso, Christine Ahrends, Mark W. Woolrich

We propose the Gaussian-Linear Hidden Markov model (GLHMM), a generalisation of different types of HMMs commonly used in neuroscience.

Variational Inference

Dynamic functional connectivity: why the controversy?

no code implementations • 27 Jun 2023 • Diego Vidaurre

In principle, dynamic functional connectivity in fMRI is just a statistical measure.

Dynamic Functional Connectivity

1 code implementation • 9 Jan 2023 • Christine Ahrends, Diego Vidaurre

Most generally, dynamic functional connectivity (FC) refers to the non-instantaneous couplings across timeseries from a set of brain areas, here as measured by fMRI.

Clustering

Dimensionality reduction for time series data

no code implementations • 14 Jun 2014 • Diego Vidaurre, Iead Rezek, Samuel L. Harrison, Stephen S. Smith, Mark Woolrich

Despite the fact that they do not consider the temporal nature of data, classic dimensionality reduction techniques, such as PCA, are widely applied to time series data.

Dimensionality Reduction EEG +2