AI Article Synopsis
- The paper presents a new approach for analyzing multichannel MEA recordings from neuronal networks using established nonlinear signal processing methods.
- It focuses on estimating long-term-memory behaviors in the bursting activity of developing cortical neuron cultures using the Periodogram method.
- The method also reveals structural changes in the network's activity over time.
Article Abstract
The nonlinear analysis of multichannel MEA recordings from neuronal networks is becoming a central topic in Neuroengineering. Up-to-date these kind of analyses required complex ad hoc methods. In this paper we introduce a new approach that allows the analysis of the whole-neuronal-network-activity with well-established nonlinear signal processing methods. In particular, we show here the estimation of long-term-memory behaviors through the Periodogram method in the bursting activity of cortical neuron cultures during development. Moreover, we show how this method is able to highlight structural activity changes of the network.
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| http://dx.doi.org/10.1109/IEMBS.2008.4649328 | DOI Listing |
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