- Poster presentation
- Open Access
Predicting excitatory phase resetting curves in bursting neurons
© Maran et al; licensee BioMed Central Ltd. 2008
- Published: 11 July 2008
- Relaxation Oscillator
- Silent Phase
- Neural Oscillator
- Synaptic Conductance
- Phase Reset
The phase resetting curves (PRCs) of neural oscillators can predict the phase locking within a network , 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  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 switch back to the depolarized branch until the inhibition was turned off, whereas inhibitions during the silent phase had little effect. Here the response of bursting neurons to excitation is characterized.
First and second order PRCs for excitatory inputs of different strength and duration were constructed by using the dynamic clamp to inject an artificial synaptic conductance pulse into bursting pyloric pacemaker neurons in the stomatogastric ganglion of the crab and lobster. A model neuron  was used to gain insight into the phenomenology of phase resetting.
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