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1 Free University of Berlin
2 University of Cambridge
3 Arizona State University
* To whom correspondence should be addressed. E-mail: carsten.duch{at}asu.edu.
During nervous system development different classes of neurons obtain different dendritic architectures, each of which receives a large number of input synapses. However, it is not clear whether synaptic inputs are targeted to specific regions within a dendritic tree, and whether dendritic tree geometry and sub-dendritic synapse distributions might be optimized to support proper neuronal input-output computations. This study uses an insect model where structure and function of an individually identifiable neuron, MN5, are changed while it develops from a slow larval crawling into a fast adult flight motoneuron during metamorphosis. This allows for relating postembryonic dendritic remodeling of an individual motoneuron to developmental changes in behavioral function. Dendritic architecture of MN5 is analyzed by 3-dimensional geometric reconstructions and quantitative co-localization analysis to address the distribution of synaptic terminals. Postembryonic development of MN5 comprises distinct changes in dendritic shape and in the sub-dendritic distribution of GABAergic input synapses onto MN5. Sub-dendritic synapse targeting is not a consequence of neuropil structure, but must rely on specific sub-dendritic recognition mechanisms. Passive multi-compartment simulations indicate that postembryonic changes in dendritic architecture and in sub-dendritic input synapse distributions may tune the passive computational properties of MN5 towards stage-specific behavioral requirements.
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