Explaining burst profiles using models with realistic parameters and plastic synapses

Gritsun, T. and Stegenga, J. and Feber le, J. and Rutten, W.L.C. (2008) Explaining burst profiles using models with realistic parameters and plastic synapses. In: 6th International Meeting on Substrate-Integrated Microelectrodes, 8-11 jul 2008, Reutlingen, Germany.

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Abstract:	One of the most prominent features of the electrical activity of dissociated cultured neural networks is the phenomenon of network bursts. Profiles of the instantaneous firing rate during bursts vary in shape and intensity during neuronal culture development. To shed some light on burst profile variability we constructed “pacemaker-driven” random recurrent neural network models with both static and frequency dependent synapses. We show variation of burst features by changing the network parameters of the models. The best agreement was found by including synapses with short-term plasticity.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Biomedical Signals and Systems (BSS)
Link to this item:	http://purl.utwente.nl/publications/69663
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