NeuroHDF documentationΒΆ

Neuroscientists need to manage and integrate data from anatomy, physiology, behavior and simulation data on multiple spatial and temporal scales and across modalities, individuals and species. Large amounts of data with complex data types are to be produced in the coming decades - and viable solutions for databasing, data sharing and interoperability of software tools are needed.

Hierarchical Data Format (HDF5) is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data.”

NeuroHDF is an effort to combine the flexibility and efficiency of HDF5 for neuroscience datasets through the specification of a simple layout for different data types with minimal Metadata. The NeuroHDF Interest Group consists of the members of this group.

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Multi-compartment neural circuitry