ANEBD 2013 - 2013 Symposium on: Advancing Neural Engineering Through Big Data

The past two decades have seen an explosion in Neural Engineering research dedicated to interfacing the nervous system to the external world. Research in this area has been motivated by the promise of treatments for elusive medical conditions ranging from blindness to chronic pain to spinal cord injury, and has been supported by a sustained campaign from a spectrum of federal funding agencies. Overall progress in the field has been limited by the lack of large, comprehensive data resources. The purpose of this symposium is to focus the attention of the research community on a progression of neural engineering research questions and to generate and curate massive data sets to be used in addressing those questions. The existence of massive common data corpora has proven to substantially accelerate research progress. In this symposium, we will explore the community needs for such massive data and discuss models for the funding, development and distribution of these resources.
Submissions of at most 4 pages in two-column IEEE format are welcome on topics including:
Brain Computer Interfaces
Wearable and Assistive devices
Neurological Sensor Arrays and Transduction
Biocompatible Interface Materials
Bioelectrical Signal Processing
Neuromotor and Neurosensory Modeling
Bioengineering Application of Big Data
Best Practices in Experimental Design
Annotation and Distribution Standards
Benchmarks and Open Source Tools
Keynote Speakers
Dr. Karen Moxon, Drexel University
Dr. Jack Judy, DARPA
Dr. Chris Cieri, Linguistics Data Consorium
Dr. Iyad Obeid, Temple University