My research interests are, broadly speaking, neuroscience. So far, my own work has been centered on the use of the Hurst exponent in characterising BOLD fMRI time series, and the feasibility of this, but lately I have also delved into network dynamics, more specifically how a population of LIF neurons change when STDP is added.
Since I am still fairly new to being a researcher, I have only a limited number of things to show:
My bachelor supervisor was Sune Jespersen, and the subject was a series expansion used in diffusion-weighted MRI.
My first poster was for OHBM 2010, in Barcelona, and was titled “Robustness of Hurst Exponent Estimates from BOLD fMRI Time Series Towards Additive Confounders”.
A C++ library for generating fGn (fractional Gaussian noise) exactly, and very, very quickly. Included is also a complete proof of the algorithm(s), a timing of them, and of course a bit of documentation. Comments are very welcome.
Long Memory in BOLD fMRI
The conclusion to my project with Torben Ellegaard Lund, this paper was published in the open-access journal Frontiers in Fractal Physiology. Commenting on the paper, one reviewer wrote: “The paper is well written and extremely clear. The state of the art is widely analysed and the novelty of the method is neat.” You can find the paper here.
The first outcome of my collaboration with Alessandro Torcini, this paper describes emerging, slow oscillations in networks of neurons when spike time dependent plasticity (STDP) is added to the model. The abstract can be read here, and you can get the manuscript by contacting me.