Dopamine modulation of spike dynamics in bursting neurons

Authors

  • Attila Szücs,

    1. Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0402, USA
    2. Balaton Limnological Research Institute of the Hungarian Academy of Sciences, Tihany, Hungary H-8237
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  • Henry D. I. Abarbanel,

    1. Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0402, USA
    2. Department of Physics and Marine Physical Laboratory, Scripps Institution of Oceanography; University of California San Diego, La Jolla, CA 92093–0402, USA
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  • Michail I. Rabinovich,

    1. Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0402, USA
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  • Allen I. Selverston

    1. Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093–0402, USA
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Dr Attila Szücs, 1Institute for Nonlinear Science, as above.
E-mail: aszucs@ucsd.edu

Abstract

The pyloric network of the lobster stomatogastric ganglion is a prime example of an oscillatory neural circuit. In our previous study on the firing patterns of pyloric neurons we observed characteristic temporal structures termed ‘interspike interval (ISI) signatures’ which were found to depend on the synaptic connectivity of the network. Dopamine, a well-known modulator of the pyloric network, is known to affect inhibitory synapses so it might also tune the fine temporal structure of intraburst spikes, a phenomenon not previously investigated. In the recent work we study the DA modulation of ISI patterns of two identified pyloric neurons in normal conditions and after blocking their glutamatergic synaptic connections. Dopamine (10–50 µm) strongly regularizes the firing of the lateral pyloric (LP) and pyloric dilator (PD) neurons by increasing the reliability of recurrent spike patterns. The most dramatic effect is observed in the LP, where precisely replicated spike multiplets appear in a normally ‘noisy’ neuron. The DA-induced regularization of intraburst spike patterns requires functional glutamatergic inputs to the LP neuron and this effect cannot be mimicked by simple intracellular depolarization. Inhibitory synaptic inputs arriving before the bursts are important factors in shaping the intraburst spike dynamics of both the PD and the LP neurons. Our data reveal a novel aspect of chemical neuromodulation in oscillatory neural networks. This effect sets in at concentrations lower than those affecting the overall burst pattern of the network. The sensitivity of intraburst spike dynamics to preceding synaptic inputs also suggests a novel method of temporal coding in neural bursters.

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