Title:

Computational Analysis of EEG Waveforms ​ of Mice in Ketamine-Induced Comas​

Electroencephalography (EEG) is a test that measures the electrical activity of neurons in the brain. EEG recordings from patients in waking and sleeping states have been studied to better understand neurological diseases. As part of a larger ongoing project, our team is studying EEG recordings of mice in anesthetically-induced comas so that we can further remove environmental variables. For our project, we are using ketamine as the anesthetic and will be studying the differences between normal 'Wild-Type' (WT) mice and different abnormal mice. Our goal is to use ‘white-box’ machine learning methods to identify markers that can be used to classify these mice.​

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