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This document discusses the analysis of evolving cortical neuronal networks using advanced dimensionality reduction techniques, specifically Minimum-Distortion Embedding (MDE). The research demonstrates that MDE effectively captures the dynamics of neuronal networks over time and in response to stimulation, outperforming traditional methods like PCA and t-SNE. The findings have implications for understanding neurological disorders and advancing neurotechnologies, highlighting the importance of metric select

Author

Michael Angelo

Language

EN