Current Work

Welcome to the personal webpage of Mikio Christian Aoi! I am currently a postdoc in the lab of Jonathan Pillow where I am working on problems involving large-scale Bayesian nonparametric inference, Bayesian optimization, and modeling and dimensionality reduction for neuronal population dynamics. I'll have some working papers up soon so stay tuned!


The following code is meant to supplement some of the methods that I've developed. It comes with no guarantees and I consider everything in beta in perpetuity. That said, feel free to contact me if you have any trouble or questions implementing anything.

  • This code will perform the rate adjustment to spike-field coherence that is described in my paper on the subject. It includes a demo of the functions using simulated data.
  • For code implementing our GLM approach to measuring rhythmic spike-field coupling, see the webpage of Kyle Lepage.
Screenshot on Desktop


Oscillations and synchrony

Measurement and assessment of cerebral autoregulation

Molecular Evolution

Headshot of Mikio Aoi

About Mikio Aoi

The bulk of my research has been focused on identifying new methods of data analysis that leverage knowledge of the data-generating model in order to have more sensitive and informative tools with which to perform inference.

I did my graduate work with Mette Olufsen at North Carolina State University on the analysis of cerebral autoregulation. I used a biophysical model to summarize the interactions between physical and regulatory parameters, and used this model in concert with clinical data to asses cerebral autoregulatory function in people suffering from chronic ischemic stroke.

Afterwards, I worked with Uri Eden and Mark Kramer developing metrics for the analysis of rhythmic phenomena in neural systems. We identified how small deviations from underlying assumptions influence metrics of oscillatory synchrony in point process data, and suggested analysis methods that might behave more favorably.

I also worked in collaboration with Tim Gardner developing spectral anlaysis tools for instantaneous frequency estimation using time-frequency representations.

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