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Develop IO routines for HNN-core outputs

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Status:
Active, Closed for joining
Contributor/Mentors

Contributor: Rajat Partani

Mentors:Nicholas Tolley, Stephanie Jones, Mainak Jas, R. Thorpe

About

The idea of the project is to develop IO routines adapted from Human Neocortical Neurosolver (HNN)-core objects while maintaining backwards compatibility with HNN-GUI. The requirement is to save various objects in newer formats while having capability to read both new and old formats. The proposed new format for HNN-core outputs is the Cross-language, flexible and binary format hdf5. It consists of groups (folder) and datasets (individual files) to store data modularly.

Completed Deliverables
2023
  • Development of new IO routines for HNN-core objects
  • Maintenance of backwards compatibility with HNN-GUI
  • Implement hdf5 format for modular data storage
2023