Using AI to decode neural signatures of cognition

This project is at the intersection of neuroscience, data science and artificial intelligence. Coordinated brain activity underpins all cognitive processes. Specifically, certain cognitive tasks are thought to be driven by brain rhythms oscillating at specific frequencies. But uncovering and identifying these rhythms is challenging. This project aims to characterise the pattern of neural oscillations which occur during a working memory task. We will use recently acquired high-fidelity electrophysiological recordings obtained from rodents during an advanced working memory task. We will process these recordings using machine learning strategies, including convolutional neural network generation, to attempt to identify a neural signature which determines and predicts successful execution of the working memory task. These studies have implications for understanding how the brain controls our thoughts and actions