Discovering neuronal interactions,

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Presentation transcript:

Discovering neuronal interactions, models and properties by browsing microcircuits in multiple spatial scales Luis N. Marenco1, Rixin Wang2, Robert A. McDougal1, Francesco Cavarretta1,4, Monique Surles-Zeigler2, Thomas M. Morse1, Michele Migliore1,4, N. Ted Carnevale1, Michael L. Hines1, Perry Miller2,3, Gordon M. Shepherd1 1Neuroscience Department, 2Center for Medical Informatics, Yale University, New Haven CT 3VA Connecticut Healthcare System, West Haven, CT 4Institute of Biophysics, National Research Council, Palermo, Italy INCF booth Neuroinformatics and olfactory research developments A microcircuit browser enables a Neuroscientist to explore experimental investigations and models of neural networks, cells, and ion channels and receptors. A new tool helps modelers by suggesting keywords for a model they are contributing to modeldb by detecting related phrases in the abstract. A new method predicts, when given an olfactory sensory neuron’s response to two or more odors, what the mixture of arbitrary concentrations of these odors would produce in that olfactory sensory neuron. A multiscale diagram viewer produces views of brain regions, or cells within regions or properties (transmitters, receptors, ion channels) within cells (excitatory - red, inhibitory - blue). A 3D olfactory bulb model using experimentally observed odor responses as inputs to stimulations with learning rules were found to create columns similar to those previously observed with histology. The SenseLab group gratefully acknowledges support from NIH grant R01 DC009977 and NIH grant T15 LM007056.