Neuroscience 2004 Abstract
| Presentation Number: | 420.4 |
|---|---|
| Abstract Title: | Synchronization and cooperative dynamics in assemblies of coupled motor pattern generating neural networks. |
| Authors: |
Szücs, A.*1,3
; Selverston, A. I.1
; Rabinovich, M. I.1
; Abarbanel, H. D. I.1,2
1Inst. Nonlinear Sci., Univ. California San Diego, La Jolla, CA 2Dept. Physics and Marine Res. Lab., Univ. California San Diego, La Jolla, CA 3Hungary, 9500 Gilman Dr, 92093-0402, |
| Primary Theme and Topics |
Motor Systems - Pattern Generation and Locomotion |
| Session: |
420. Pattern Generation: Models of Network Dynamics Poster |
| Presentation Time: | Monday, October 25, 2004 11:00 AM-12:00 PM |
| Location: | San Diego Convention Center - Hall A-H, Board # AA7 |
| Keywords: | pyloric neuron, dynamic clamp, coordination, stomatogastric |
Coordinated activity of rhythm generating neural networks is a key requirement for fine-tuned motor behavior. Synchronization of large oscillatory networks has been also suggested as a way of binding perceptual properties. The lobster stomatogastric ganglion (STG) has been one of the prime experimental models of interactions in oscillatory neural networks. Here, central pattern generators (CPGs) such as the pyloric and gastric mill networks each having different synaptic connectivity and frequencies produce a wide variety of neural interactions. The topological and biophysical constraints for coordinated activity between identical CPGs has been less investigated and less understood. In our present study we address this problem by using two intact pyloric networks from two different STG preparations. Although pyloric networks of different STGs naturally generate the same motor pattern, their endogenous frequencies and the phase-relationships of their component neurons are different. Hence, coordination of these assemblies requires special constraints for the biophysical properties of the synaptic connections between the two circuits. The dynamic clamp method is a valuable tool to study synchronization of such systems. We establish simulated synaptic connections of both electrotonic and chemical kinds between selected component neurons of the two CPGs. Electrical coupling of the pacemaker groups of the pyloric networks provides robust synchronization, while quasi-symmetric connections between the lateral pyloric and the opposite pacemaker neurons provides more flexibility. Temporal patterns of the joint networks and their dependence on the connectivity will be described.
Supported by NSF under grant PHY0097134; NIH under grant R01 NS40110-01A2; DOE under grant DE-FG02-96ER14592
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2004 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2004. Online.
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