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- Title
Topological data analysis of the firings of a network of stochastic spiking neurons.
- Authors
Xiaotian Bai; Chaojun Yu; Jian Zhai
- Abstract
Topological data analysis is becoming more and more popular in recent years. It has found various applications in many dierent fields, for its convenience in analyzing and understanding the structure and dynamic of complex systems. We used topological data analysis to analyze the firings of a network of stochastic spiking neurons, which can be in a sub-critical, critical, or super-critical state depending on the value of the control parameter. We calculated several topological features regarding Betti curves and then analyzed the behaviors of these features, using them as inputs for machine learning to discriminate the three states of the network.
- Subjects
DATA analysis; NEURAL circuitry; BIOLOGICAL networks; DYNAMICAL systems; DISMISSAL of employees; MACHINE learning
- Publication
Frontiers in Neural Circuits, 2024, p1
- ISSN
1662-5110
- Publication type
Article
- DOI
10.3389/fncir.2023.1308629