Data Science & Informatics
10th Annual BRAIN Initiative Conference
The BRAIN Initiative® Conference, previously known as the BRAIN Initiative Meeting, convenes BRAIN Initiative awardees, staff, and leadership from the contributing federal agencies (NIH, NSF, DARPA, IARPA, and FDA), plus representatives and investigators from participating non-federal organizations, and members of the media, public, and Congress.
BRAIN Initiative: Data Archives for the BRAIN Initiative (R24 Clinical Trial Optional)
This Notice of Funding Opportunity (NOFO) solicits applications to develop web-accessible data archives to capture, store, and curate data related to
BRAIN Initiative Connectivity across Scales Data Coordinating Center (BRAIN CONNECTS DCC) (U24 Clinical Trial Not Allowed)
This Notice of Funding Opportunity (NOFO) solicits applications for one or more Data Coordinating Centers (DCCs) to support
CRCNS US-German Research Proposal: Quantitative and Computational Dissection of Glutamatergic Crosstalk at Tripartite Synapses
CRCNS US-German Research Proposal: Quantitative and computational dissection of glutamatergic crosstalk at tripartite synapses (1) Christine R Rose, Heinrich Heine University, Düsseldorf, Germany (2) Christian Henneberger, University of Bonn, Germany (3) Ghanim Ullah, University of South Florida, Tampa, FL, USA Project Description 1 Introduction and Background Transmission at chemical synapses is the central mechanism by which information is transferred between neurons.
Towards an integrated analytics solution to creating a spatially-resolved single-cell multi-omics brain atlas
PROJECT SUMMARY The maintenance and function of the nervous system depends on cell-cell interactions among neuronal and non-neuronal cell populations, which occur through physically binding cell membrane surface or secreted proteins, triggering signaling cascades that activate cell-type gene regulatory programs. The cell-cell interactome responds and regulates the microenvironment which is altered in physiological processes such as brain development and aging, or during the onset and progression of different neuropsychiatric disorders.
Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualization
Project Summary/Abstract Cloud-based analyses and easily shared data formats are revolutionizing neuroimaging. We will develop software to fill gaps created by these two trends.
Unified, Scalable, and Reproducible Neurostatistical Software
Project Summary Many advances in modern neuroscience rely on electrophysiological recordings of large neural populations (e.g. many hundreds of cells) or high-resolution measurements of animal behavior (e.g. from video). These datasets have unlocked a wide range of genuinely transformational scientific opportunities, as they enable us to draw reliable statistical inferences about individual animal subjects at precisely encapsulated moments in time. However, these statistical models are complex and non-trivial to implement in computer software.
A scalable cloud-based framework for multi-modal mapping across single neuron omics, morphology and electrophysiology
Project Summary Categorizing individual neurons into different groups, or cell types, is a classical approach to studying the nervous system. With increasingly more tools being invented to observe the neurons, new criteria were created to characterize different aspects, or modalities, of the cells. While these modality-specific categorizations have enabled in-depth knowledge in neuroscience, the inconsistencies across different criteria leave data integration across modalities technically difficult.
Continuous development of nTracer2 and its deployment at NIH image repositories
Abstract In response to the BRAIN Initiative “Integration and Analysis of BRAIN Initiative Data” FOA, we propose further developing nTracer2, a cloud-based platform for brain image visualization and neuron tracing in the web browser.