3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
A comprehensive framework for statistical testing of brain dynamics
Nick Yao Larsen, Laura Paulsen, Christine Ahrends +2
Neural activity data can be associated with behavioral and physiological variables by analyzing their changes in the temporal domain. However, such relationships are often difficul…
The Gaussian-Linear Hidden Markov model: a Python package
Diego Vidaurre, Laura Masaracchia, Nick Y. Larsen +4
We propose the Gaussian-Linear Hidden Markov model (GLHMM), a generalisation of different types of HMMs commonly used in neuroscience. In short, the GLHMM is a general framework wh…
Dynamic Functional Connectivity
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. This is in con…