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.
Original language | Undefined |
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Title of host publication | 6th International Meeting on Substrate-Integrated Microelectrodes |
Place of Publication | Stuttgart, Germany |
Publisher | BIOPRO Baden-Wuerttemberg GmbH |
Pages | 26-28 |
Number of pages | 3 |
ISBN (Print) | 3-938345-05-5 |
Publication status | Published - 8 Jul 2008 |
Event | 6th international meeting on substrate-integrated micro electrode arrays 2008 - Stuttgart, Germany Duration: 8 Jul 2008 → 11 Jul 2008 Conference number: 6 |
Publication series
Name | |
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Publisher | BIOPRO Baden-Wuerttemberg GmbH |
Conference
Conference | 6th international meeting on substrate-integrated micro electrode arrays 2008 |
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Country/Territory | Germany |
City | Stuttgart |
Period | 8/07/08 → 11/07/08 |
Keywords
- METIS-265265
- EWI-17282
- IR-69663