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Introductions to dimensionality reduction

Finding structure The whole goal of our experiments is to uncover some structure in behavior. In some cases we can make this easier for ourselves by simplifying the data we...

Understanding Gaussian processes

If you have ever tried to analyze time series data, you know that time series present all kinds of statistical challenges. Probably the most challenging aspect of time series data...

BIAC Cluster

This tutorial introduces the computational cluster at the Duke Brain Imaging and Analysis Center (BIAC) and presents a few simple use cases. Hopefully it will make your experience handling/analyzing neural...

Ordinal regression models to analyze Likert scale data

Today I am going to present on an alternative way to analyze Likert scale data by using ordinal regression instead of linear regression. But first, why is it even a...

Fitting drift-diffusion models with simulation

Last week, Raphael presented a fantastic conceptual introduction to drift diffusion models, which are an extension of signal detection models over time. Here I’ll be talking about what model fitting...