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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Akin, M., Guo, Y. (2022). Emergence of Stable Functional Cliques in Developing Neural Networks. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-93413-2_52
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DOI: https://doi.org/10.1007/978-3-030-93413-2_52
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