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3 Janelia Publications

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    Keller Lab
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    05/09/17 | How to make a worm twitch.
    Keller PJ
    Biophysical Journal. 2017 May 09;112(9):1737-1738. doi: 10.1016/j.bpj.2017.03.035
    Rubin LabAso Lab
    05/09/17 | Representations of Novelty and Familiarity in a Mushroom Body Compartment.
    Hattori D, Aso Y, Swartz KJ, Rubin GM, Abbott LF, Axel R
    Cell. 2017 May 09;169(5):956-69. doi: 10.1016/j.cell.2017.04.028

    Animals exhibit a behavioral response to novel sensory stimuli about which they have no prior knowledge. We have examined the neural and behavioral correlates of novelty and familiarity in the olfactory system of Drosophila. Novel odors elicit strong activity in output neurons (MBONs) of the α'3 compartment of the mushroom body that is rapidly suppressed upon repeated exposure to the same odor. This transition in neural activity upon familiarization requires odor-evoked activity in the dopaminergic neuron innervating this compartment. Moreover, exposure of a fly to novel odors evokes an alerting response that can also be elicited by optogenetic activation of α'3 MBONs. Silencing these MBONs eliminates the alerting behavior. These data suggest that the α'3 compartment plays a causal role in the behavioral response to novel and familiar stimuli as a consequence of dopamine-mediated plasticity at the Kenyon cell-MBONα'3 synapse.

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    Zlatic LabCardona Lab
    05/09/17 | Semiparametric spectral modeling of the Drosophila connectome.
    Priebe CE, Park Y, Tang M, Athreya A, Lyzinski V, Vogelstein JT, Qin Y, Cocanougher B, Eichler K, Zlatic M, Cardona A
    arXiv. 2017 May 9:1705.03297

    We present semiparametric spectral modeling of the complete larval Drosophila mushroom body connectome. Motivated by a thorough exploratory data analysis of the network via Gaussian mixture modeling (GMM) in the adjacency spectral embedding (ASE) representation space, we introduce the latent structure model (LSM) for network modeling and inference. LSM is a generalization of the stochastic block model (SBM) and a special case of the random dot product graph (RDPG) latent position model, and is amenable to semiparametric GMM in the ASE representation space. The resulting connectome code derived via semiparametric GMM composed with ASE captures latent connectome structure and elucidates biologically relevant neuronal properties.

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