In the present proposal, we plan to examine the dendrites, axons, and presynaptic terminals of fast-spiking, parvalbumin-expressing GABAergic interneurons using subcellular patch-clamp methods pioneered by the PI, imaging techniques, and computational approaches.
The goal is to obtain a quantitative nanophysiological picture of signaling in this key type of interneuron. By incorporating realistic BC models into dentate gyrus network models, we will be able to test the contribution of this important type of GABAergic interneuron to complex functions of the dentate gyrus, such as pattern separation, temporal deconvolution, and conversion from grid to place codes. The results may lay the basis for the development of new therapeutic strategies for treatment of diseases of the nervous system, targeting interneurons at subcellularly defined locations.
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