The SenseLab suite of 8 interoperable databases is aimed at supporting our research on a model system for brain organization, the olfactory bulb, and at sharing these and related resources with the neuroscience and neuroinformatics communities. During the past 5 years a Program Project grant has enabled us to begin to move from the synaptic and cell levels to the microcircuit level, and in this R01 grant we will build directly on this work. First, we will continue development of our most heavily used databases - NeuronDB and ModelDB - for the analysis of dendritic signal integration, and ORDB, supporting work on olfactory receptors, the largest family in the genome. We will continue to participate in the Neuroscience Database Gateway, the Neuroscience Information Framework, and the International Neuroinformatics Coordinating Facility. We will continue to demonstrate how databases support neuroscience research with two new research projects to develop computational models that give insight into experimental data. One project is to deepen insight into our recent experimental evidence from transsynaptic tracing for widely distributed cell columns, which we hypothesize are involved in processing odor maps. We will analyze this data and use it to refine first a reduced microcircuit in which the glomerular cell columns respond to the excitatory input from the odor maps and process it through distance-independent lateral inhibition between glomerular columns. With continual testing by the experimental data, we will scale up the model to 100 columns, then to 2,000, to characterize the global processing of odor maps to an extent not possible with experimental methods. This work will be carried out as a pilot project in parallel with the Blue Brain Project in Switzerland on realistically-based large- scale cortical networks. A new database, MicrocircuitDB, will be developed to support this and related studies of microcircuit organization. A second new project will extend our computational analysis of energy demands in the olfactory glomerulus to the lateral inhibitory interactions, to provide a more thorough understanding of the energy demands of the microcircuits that process odor maps. A new database project is to apply NeuronDB and ModelDB to analyzing the impact of the early pathogenesis of neurodegenerative disorders on dendritic signal integration. For this purpose we are developing a new database, Brain Pharmacology (BrainPharm). All of this work will benefit from continued support and development by the Yale Center for Medical Informatics, and by the NEURON simulation environment team.

Public Health Relevance

There is a critical need to understand how signals are processed in nerve cells and nerve circuits as a basis for brain function. We attempt to enhance this effort through a system of interrelated databases of experimental data and computer models. The new projects should give a deeper understanding of both normal brain function and neurological disorders such as Alzheimer's disease

National Institute of Health (NIH)
National Institute on Deafness and Other Communication Disorders (NIDCD)
Research Project (R01)
Project #
Application #
Study Section
Neurotechnology Study Section (NT)
Program Officer
Sullivan, Susan L
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Yale University
Schools of Medicine
New Haven
United States
Zip Code
Thompson, Garth J; Sanganahalli, Basavaraju G; Baker, Keeley L et al. (2018) Spontaneous activity forms a foundation for odor-evoked activation maps in the rat olfactory bulb. Neuroimage 172:586-596
McDougal, Robert A; Dalal, Isha; Morse, Thomas M et al. (2018) Automated Metadata Suggestion During Repository Submission. Neuroinformatics :
Cavarretta, Francesco; Burton, Shawn D; Igarashi, Kei M et al. (2018) Parallel odor processing by mitral and middle tufted cells in the olfactory bulb. Sci Rep 8:7625
McDougal, Robert A; Morse, Thomas M; Carnevale, Ted et al. (2017) Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. J Comput Neurosci 42:1-10
Shepherd, Gordon M; Rowe, Timothy B (2017) Neocortical Lamination: Insights from Neuron Types and Evolutionary Precursors. Front Neuroanat 11:100
Marasco, Addolorata; De Paris, Alessandro; Migliore, Michele (2016) Predicting the response of olfactory sensory neurons to odor mixtures from single odor response. Sci Rep 6:24091
Short, Shaina M; Morse, Thomas M; McTavish, Thomas S et al. (2016) Respiration Gates Sensory Input Responses in the Mitral Cell Layer of the Olfactory Bulb. PLoS One 11:e0168356
Marenco, Luis; Wang, Rixin; McDougal, Robert et al. (2016) ORDB, HORDE, ODORactor and other on-line knowledge resources of olfactory receptor-odorant interactions. Database (Oxford) 2016:
Cavarretta, Francesco; Marasco, Addolorata; Hines, Michael L et al. (2016) Glomerular and Mitral-Granule Cell Microcircuits Coordinate Temporal and Spatial Information Processing in the Olfactory Bulb. Front Comput Neurosci 10:67
Zhou, Shanglin; Migliore, Michele; Yu, Yuguo (2016) Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model. Front Neuroanat 10:10

Showing the most recent 10 out of 34 publications