Changes within bursts during learning in dissociated neural networks

J. Stegenga, Jakob le Feber, Wim Rutten

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    3 Citations (Scopus)
    167 Downloads (Pure)


    We have studied the effect of imprinting a new stimulus-response (SR) relationship into a neuronal network cultured on a multi electrode array (MEA). We have used the Conditional Repetitive Stimulation (CRS) algorithm introduced by Shahaf et al in 2004. In this algorithm focal electrical stimulation is delivered at a low rate (<1 Hz) and is withdrawn when a desired response is observed. We confirmed that CRS could train the network to strengthen an initially weak SR relationship. With the acquisition of a new SR relationship, we studied its effect on network activity. Specifically, spontaneously occurring network bursts measured before, during and after training were analyzed. The total firing rate within bursts was estimated with a temporal resolution of milliseconds (burst profiles). We have shown earlier that these profiles change shape on a time base of several hours during spontaneous development. We show that the rate of change of the profiles during training (i.e. CRS) was higher than when no stimulation was applied.
    Original languageUndefined
    Title of host publicationProceedings of the 30th annual international IEEE EMBS conference
    Number of pages4
    ISBN (Print)978-1-4244-1814-5
    Publication statusPublished - Aug 2008
    Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2008 - Vancouver, Canada
    Duration: 20 Aug 200825 Aug 2008
    Conference number: 30

    Publication series



    Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2008
    Abbreviated titleEMBC


    • BSS-Neurotechnology and cellular engineering
    • IR-60464
    • METIS-252044
    • EWI-13381

    Cite this