I am proud to announce a new effort we are undertaking at Temple called the Neural Engineering Data Consortium. The NEDC is being founded to help bring the power of big data and competitive common evaluations to neural engineering. Efforts such as this have been very effective in organizing other data intensive research areas such as human language processing.
We have been planning this effort for a while, and we're now pleased to announce that we've raised an initial round of capital to support planning and development efforts. Specifically, we seek two main goals over the next year
- Complete a planning exercise that will identify how the NEDC should be structured, administrated, resourced, and interfaced to the neural engineering community. A big part of this effort will be getting buy-in from different elements of the neural engineering community.
- Develop a proof-of-concept big-data corpus comprising 20,000 clinical EEGs derived from archives at Temple University Hospital. This corpus will be released freely to the neural engineering community.
Our paper from the BCI Meeting can be found
here.
My slides from that same meeting can be found
here.