Explore the intersection of topology, neural activity, and quantum mechanics in this lecture by MIT's Seth Lloyd. Delve into topological features, the Quantum Question Order Effect, and their implications for understanding complex systems. Learn about motivations behind topological analysis, techniques for counting and simplifying features, and the significance of feature boundaries and holes. Gain insights into how these concepts can be applied to neural networks and quantum information processing.
Topological Treatment of Neural Activity and the Quantum Question Order Effect
Overview
Syllabus
Introduction
Topological features
Quantum Question Order Effect
Motivation
Topological Analysis
Counting
Simplifying
Why
Feature Boundary
Hole
Summary
Taught by
MITCBMM
