Mobile EEG and Computational Tools for Auditory Research
Workshop Date:
Mon, 08/01/2016 - Fri, 08/05/2016
Teaching Assistants: Cynthia Moncada (UCSC) & Wisam Reid
Music and speech are complex human expressions, product of dynamic processes in the brain. In this neuroscience workshop, we will record brain activity using a custom and mobile electro-encephalogram (EEG) to study:
- The fundamental patters of cortical brain activity unfolding over time.
- The specific relationships between cortical activity and the acoustic stimuli that trigger it.
- Experiments that we can bring outside the lab to investigate the brain in realistic scenarios.
- Machine Learning and Statistical tools to clean, analyze, and visualize EEG data.
- Artificial neural networks as tools for modeling of brain activity.
After an overview of fundamental concepts from music theory, acoustics, mathematics, neuro-science, and computer science, we will start analyzing pre-recorded EEG data to untangle the information about brain processes. We will then review scientific literature in preparation to de-sign a couple of experimental paradigms to be carried out in the realistic scenario of your choice. After experimental design, we will collect and analyze EEG data to build a computational model that describes the brain activity captured by our experiments.
Topics to be covered:
- Anatomy and physiology of the peripheral and central auditory systems.
- History and functionality of modern EEG systems.
- Analysis of electrophysiological data using Matlab and Python libraries.
- Neuroscience literature on cognition of music and speech.
- Modeling of brain activity using Neuroscience-Inspired Artificial Neural Networks.
For information on the Women in Computer Music Scholarship for this workshop, please visit this page.
