Abstract
Background The phase resetting curves (PRCs) of neural oscillators can predict the phase locking within a network [1], but for bursting neurons the duration and shape of the burst may change as a result of the feedback within a network, thus it would be useful to understand how these changes impact the resetting. A previous study [2] characterized the responses of bursting neurons to inhibitory pulses as that of a relaxation oscillator whose limit cycle had a depolarized (bursting) and hyperpolarized (silent) branch. Inhibitions applied during the burst produced a switch to the hyperpolarized branch and prevented a from Seventeenth Annual Computational Neuroscience Meeting: CNS*2008 Portland, OR, USA. 19–24 July 2008
Highlights
The phase resetting curves (PRCs) of neural oscillators can predict the phase locking within a network [1], but for bursting neurons the duration and shape of the burst may change as a result of the feedback within a network, it would be useful to understand how these changes impact the resetting
The observed PRCs were explained by assuming different trajectories in the phase space
When the input was turned off, an essentially fixed period of time elapsed before the burst, suggesting that a constant trajectory led from the tonic attractor to the original limit cycle
Summary
Address: 1Neuroscience Center for Excellence, LSU Health Sciences Center, New Orleans, LA, 70112, USA, 2Wallace H.
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