Welcome to Aggie’s adventures in neuroinformatics!
The brain is a very complex system whose intricate processes, such as perception, motor function, and cognition, have puzzled neuroscientists for decades. Although many techniques have been employed in the study of higher order neural function, such as single unit patch clamping, electroencephalography (EEG) of the entire brain, pharmacological manipulation, and functional magnetic resonance imaging (fMRI), they can all be stripped down to the study of a single phenomenon — neuronal spike trains. Transient voltage pulses traveling down axons, commonly known as action potentials (APs), are the main form of neural communication, and computation. The study of individual APs and how they propagate to convey information through neuronal populations is therefore fundamental to neuroscience.
The work I’m interested in focuses on creating neurological signal processing software to study small neuronal populations. There are many modalities for studying these populations, including calcium imaging and extracellular recording. I tackle problems of detection, classification, localization and other parameter extraction from multi-neuron data using statistical as well as machine learning tools.