Book chapter
Emergence of Stable Functional Cliques in Developing Neural Networks
Complex Networks & Their Applications X, pp 629-640
01 Jan 2022
Abstract
Complex networks constructed from neural correlations exhibit nonrandom structures hypothesized to be related to neural information processing. These networks can be characterized by topological features such as hubs, communities and small world connectivity. A particular network structure of interest is a clique - a fully connected subgraph - which may indicate the existence of underlying neural ensembles. We introduce a multilayer network method to observe the persistence of functional cliques over population bursts as well as their development as the underlying neural network forms connections. Using data from developing cultures on MEAs, we show that cliques become more numerous and persistent over population bursts as neural cultures age. These results provide evidence for the formation of neural ensembles in cultured neural networks.
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Details
- Title
- Emergence of Stable Functional Cliques in Developing Neural Networks
- Creators
- Myles Akin - Drexel UniversityYixin Guo - Drexel University
- Publication Details
- Complex Networks & Their Applications X, pp 629-640
- Series
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:000844529400052
- Scopus ID
- 2-s2.0-85122498606
- Other Identifier
- 991019174293704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Mathematics, Applied
- Social Sciences, Mathematical Methods