Using the Dynamic Clamp to Explore the Relationship Between Intrinsic Activity and Network Dynamics
Our goal is to understand how neural network dynamics depend on the properties of the component neurons and their synaptic connections. To that end, we propose a novel method using the dynamic clamp to evaluate the intrinsic properties of isolated neurons that replaces conventional methods such as measuring input impedance. Secondly, we construct novel circuits using the dynamic clamp by electrically coupling pairs of pacemakers of rhythmically active pyloric networks from stomatogastric ganglia. We determine whether we can synchronize pacemakers with different intrinsic frequencies and how the coupled network frequency depends on the frequencies of the isolated pacemaker kernels.
This work was supported by NIH NS059255 (AET), NIH NS581102 (RGG), and NIH 46742 (EM).
- Del Negro CA, Pace RW, and Hayes JA. What role do pacemakers play in the generation of respiratory rhythm? Adv Exp Med Biol 605: 88–93, 2008.Google Scholar
- Prinz AA, Billimoria CP, and Marder E. Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90: 3998–4015, 2003a.Google Scholar
- Prinz AA, Thirumalai V, and Marder E. The functional consequences of changes in the strength and duration of synaptic inputs to oscillatory neurons. J Neurosci 23: 943–954, 2003b.Google Scholar
- Sharp AA, O'Neil MB, Abbott LF, and Marder E. The dynamic clamp: artificial conductances in biological neurons. Trends Neurosci 16: 389, 1993a.Google Scholar
- Sharp AA, O'Neil MB, Abbott LF, and Marder E. Dynamic clamp: computer-generated conductances in real neurons. J Neurophysiol 69: 992–995, 1993b.Google Scholar
- Strogatz SH. Nonlinear Dynamics and Chaos: Addison-Wesley Publishing Company, 1994.Google Scholar