I’m applying some methods developed in this paper for testing purposes in my own thesis research. Specifically, I have some float-valued data, $F$, that varies along the cortical surface of the brain. Visually, I can see that there are areas …
For one of the projects I’m working on, I have an array of multivariate data relating to brain connectivity patterns. Briefly, each brain is represented as a surface mesh, which we represent as a graph $G = (V,E)$, where $V$ is a set of $n$ …
I’ve been toying around with openCV for generating MRI images with synethetic motion injected into them. I’d never used this library before, so I tested a couple examples. Below I detail a few tools that I found interesting, and that can …
I recently attended Neurohackademy 2018, hosted by the University of Washington’s eScience Institute, and organized by Dr. Ariel Rokem and Dr. Tal Yarkoni.
This was a 2-week long event, beginning with a series of daily lectures, and ending with …
In my previous post on dynamic mode decomposition, I discussed the foundations of DMD as a means for linearizing a dynamical system123. In this post, I want to look at a way in which we can use rank-updates to incorporate new information into the …
In the next two posts, I want to talk briefly about an algorithm called Dynamic Mode Decomposition (DMD). DMD is a spatiotemporal modal decomposition technique that can be used to identify spatial patterns in a signal (modes), along with the time …