Development of a data analytic pipeline for processing and analyzing functional brain activity
Understanding brain function requires the ability to image neuronal activity and then process neuronal network computations in real time and space. Here at Vassar, we have recently developed a miniaturized microscope (i.e., the Miniscope) that allows us to peer deep inside the brain to study neuronal activity at single cell resolution and at high speed. This technology produces terabytes of data, creating challenges in both data processing and data analysis. This URSI project will1) develop a processing pipeline to extract signal from raw imaging using high-performance computing resources, and 2) begin to develop a set of data analytic tools using machine learning to decode the relationship between brain activity and behavior.
Experience or interest in programming, data science, big data, machine learning, neuroscience, psychology, and/or cognitive science is preferred. The project will involve working with a team that will include fellow URSI students and faculty, so we encourage students who have some but not all of the relevant experience or interests to apply.
How should students express interest in this project?
Please clearly describe in your application any experiences that you feel are relevant to the project. You do not need to contact us prior to submitting an application. We will reach out to students for interviews after the applications are in.