Revealing Patterns in Brain Activity with Persistent Homology
Applied Algebraic Topology Network via YouTube
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Learn how persistent homology can be applied to analyze complex brain activity patterns in this research lecture from the Applied Algebraic Topology Network. Explore the application of time-delay embedding and persistent homology techniques to study brain dynamics in two distinct cases: human hypnosis experiments and epileptic fish. Discover how topological indicators can reveal the influence of biological factors like hypnotic susceptibility, fishline variations, and genetic mutations on brain activity patterns. Understand the potential practical applications of these topological markers for medical practitioners and researchers in identifying and characterizing different biological conditions through brain dynamics analysis.
Syllabus
Maxime Lucas (12/3/2024): Revealing patterns in brain activity with persistent homology
Taught by
Applied Algebraic Topology Network