NRC EVent IDENTification Institute for Biodiagnostics National Research Council of Canada 435 Ellice Avenue Winnipeg MB R3B 1Y6, Canada

Detecting Novelty in a Series of Datasets

NRC EVent IDENTification is an exploratory data analysis application for rapidly investigating novel events in a set of images as they evolve over time, frequency, or some other analysis dimension. For example, in a series of functional magnetic resonance neuroimages, novelty may manifest itself as neural activations over a time course.

NRC EVent IDENTification allows researchers to probe for unanticipated but domain-significant structure in the data.

• Implemented in Scopira, a multi-platform 64-bit clean C++ data analysis application framework with a plug-in architecture.
• Flexibly generate unbiased, testable models.
• Useful for complex cognitive experiments.
• Reliable data-driven, model-free analysis using EROICA, NRC EVent IDENTification's enhanced fuzzy clustering strategy.
• Excellent precursor and complement to any model-based inferential method.

Contact Information

• General inquiries regarding NRC EVent IDENTification and EROICA

  • Nicolino.Pizzi@nrc-cnrc.gc.ca - Senior Research Officer, Biomedical Informatics.

• Installing Scopira and NRC EVent IDENTification on your system

  • Alexander.Demko@nrc-cnrc.gc.ca - Software Engineer, Biomedial Informatics.

Download

NRC EVent IDENTification executables (Windows and Linux) and source code now available for free download under the GNU General Public License

• Linux binaries.
• Windows installer.
• Source archive.

Documentation

• Getting Started NRC EVent IDENTification Tutorial
• EROICA Manual
• Sample Dataset: sample_1.eh sample_1.bin