Changes within bursts during learning in dissociated neural networks


Stegenga, Jan and Feber, Joost le and Rutten, Wim L.C. (2008) Changes within bursts during learning in dissociated neural networks. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society “Personalized Healthcare through Technology”. IEEE, pp. 4968-4971. ISBN 9781424418145

open access
Abstract: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 In this algorithm focal electrical stimulation is delivered at a low rate (≪1 Hz) and is withdrawn when a desired response is observed.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.
Item Type:Book Section
Copyright:© 2008 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 252044