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

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Summary

Predicting excitatory phase resetting curves in bursting neurons

Address: 1Neuroscience Center for Excellence, LSU Health Sciences Center, New Orleans, LA, 70112, USA, 2Wallace H.

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