Overview of RAINNE

The name DATAPLASTICITY is motivated by neuroplasticity and by how computer-generated data may be “bent” together through the Group Assured Architecture called RAINNE.

Part 1: Imaginary CNN

Convolutional neural networks take in digitized vision, speech, vibration, and other data. DATAPLASTICITY’s patented Joint Proximity Association Template uses single-step association memory matrices between layers, including connections across multiple neural networks.

Part 2: Real EEG

The patented Single-Period Single-Frequency method analyzes EEG with a bank of individual frequency components and returns a correlation coefficient for each point in the time series. The approach supports personalized EEG analysis and research into pre-seizure detection and other neurological applications.

Part 3: RAINNE

RAINNE is in the development stages of building a neural-network association architecture to join “real” EEG with “imaginary” CNN processing in a Group Assured Architecture for human-computer interfaces.