SBIR-STTR Award

Traditional concepts of neural-machine interface use brain signals as: control inputs; to assess neurocognitive states for modification of information delivery to improve human performance; to guide selection of image sets. We propose a revolutionary concept of interfacing Electrical Geodesics’ technology (sensors and brain signal analysis) with Icosystem’s interactive evolutionary computation (IEC) (search and decision support) for certain data mining and discovery tasks. IEC combines the unique ability of humans to instantly detect patterns with the computer’s ability to generate millions of solutions. This approach enables a significantly broader exploration of model space while always satisfying the model constraints. While the task described is simple for a proof-of-concept, the implications can dramatically improve the quality and thoroughness for a range of analytic and discovery tasks.

Keywords:
Eeg, Eeg, Pattern Analysis, Pattern Detection, Brain Computer Interface, Brain Signals, Neuroscience, Data Mining, Deeg