Measuring the Amount of Concomitant Firing during Neural Development
SISY 2022 - IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics, Proceedings, Page: 331-336
2022
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Conference Paper Description
The aim of this work was to estimate and compare the amount of concomitant firing in the neural dynamics of dissociated in-vitro cultures analyzed across various stages of development. To this end, we used a recently proposed index to estimate the degree of concomitant neural activity (denoted as CFIMI), which computes the mutual information between pairs of state flows extracted from neural spiking activities. The state-flow representation was obtained classifying the spiking activity of each neural unit into three states which differentiate the inter-spike intervals on the basis of their duration using percentile statistics. We show that the CFIMI index detects a significant increase of synchronous (concomitant) firing patterns between pairs of neurons, moving from the early stage of development to intermediate and full maturation in population of thirteen analyzed cultures. Furthermore, the use of the CFIMI index as an estimate of the neural interactions facilitates effective characterization of the functional organization of developing neural networks by graph-theoretic measures.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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