Yan LIU

Final Year Project

This project focuses on the intersection of computational neuroscience and bio-signal processing, with a specific emphasis on Principal Component Analysis (PCA) and its applications in the analysis of neural data.

• Explore the methodologies and applications of computational techniques in understanding neural mechanisms and processing bio-signals.
• Implement PCA using MATLAB, applying it to various datasets to understand its functionality and performance.
• Investigate the impact of noise on the performance of PCA, conducting experiments to measure how different levels and types of noise affect the accuracy and reliability of the results.
• Work with a medico to gather neural data from mouse experiments, ensuring proper handling and preprocessing of bio-signals.
• Apply PCA to the processed neuron data to identify principal components, reduce dimensionality, and extract meaningful patterns.