SYNCHRONIZATION OF BIOLOGICAL NEURONS WITH CONDUCTION DELAYS
Document Type
Presentation
Start Date
22-10-2010 3:00 PM
End Date
22-10-2010 4:30 PM
Description
Long range synchrony occurs by locking to a common input or via reciprocal coupling (Tort et al., 2007). It is an open question as to how stable synchronization properties of neural circuits are sustained over long distances. We analyze two reciprocally coupled oscillatory neurons with conduction delays. We use Phase Resetting Curves (PRCs) generated under the assumption of pulsatile coupling to predict what phase-locked solutions will be exhibited in the neuronal circuit with delays. We test our predictions in circuits of two model neurons as well as in hybrid circuits constructed with two entorhinal cortex stellate cells (or two pyramidal cells) coupled via dynamic clamp. We found that the skewness of PRC is a critical feature that determines the locking pattern of homogeneous two-neuron model circuits in the presence of delays. The most robust synchronization for two heterogeneous neurons is predicted for excitatory coupling with delays that fall in a region of the PRC called the causal limit, in which the arrival of a delayed spike triggers a spike in the postsynaptic neuron almost immediately. Experimental tests confirmed the prediction that tight synchrony would be observed for delays between one half and one whole intrinsic period of the component neurons.
Recommended Citation
Wang, Shuoguo; Chandrasekaran, L.; Fernandez, F. R.; and White, J. A., "SYNCHRONIZATION OF BIOLOGICAL NEURONS WITH CONDUCTION DELAYS" (2010). Dr. Joseph M. Moerschbaecher, III Graduate Research Day. 25.
https://digitalscholar.lsuhsc.edu/grad_rs/2010/poster2/25
SYNCHRONIZATION OF BIOLOGICAL NEURONS WITH CONDUCTION DELAYS
Long range synchrony occurs by locking to a common input or via reciprocal coupling (Tort et al., 2007). It is an open question as to how stable synchronization properties of neural circuits are sustained over long distances. We analyze two reciprocally coupled oscillatory neurons with conduction delays. We use Phase Resetting Curves (PRCs) generated under the assumption of pulsatile coupling to predict what phase-locked solutions will be exhibited in the neuronal circuit with delays. We test our predictions in circuits of two model neurons as well as in hybrid circuits constructed with two entorhinal cortex stellate cells (or two pyramidal cells) coupled via dynamic clamp. We found that the skewness of PRC is a critical feature that determines the locking pattern of homogeneous two-neuron model circuits in the presence of delays. The most robust synchronization for two heterogeneous neurons is predicted for excitatory coupling with delays that fall in a region of the PRC called the causal limit, in which the arrival of a delayed spike triggers a spike in the postsynaptic neuron almost immediately. Experimental tests confirmed the prediction that tight synchrony would be observed for delays between one half and one whole intrinsic period of the component neurons.
Comments
See abstract book page 69