Inter-connecting real EEG and imaginary convolutional neural networks using associative memory matrices

James LaRue; Jason Wampler

doi:10.1117/12.2663361

15 June 2023 Inter-connecting real EEG and imaginary convolutional neural networks using associative memory matrices

James LaRue, Jason Wampler

Proceedings Volume 12542, Disruptive Technologies in Information Sciences VII; 125420F (2023) https://doi.org/10.1117/12.2663361
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

A technical solution is described for implementing a bridging system for Joint Analog & Digital Human-Computer Inter-connected messaging, through “Real” and “Imaginary” neural networks. The ‘real electroencephalogram’ neural network portion inputs sequenced patterns of Striatal Beat Frequencies (SBF) from an EEG while the ‘imaginary convolutional’ neural network (CNN) portion inputs digitized imagery. We will demonstrate our (real) SBF work in the context of epileptic seizures and our (imaginary) CNN work in the context of overcoming compromised sensors by using associative memory matrices to form inter-layer (bridging) connections between the left eye and right eye.

Conference Presentation

Citation Download Citation

James LaRue and Jason Wampler "Inter-connecting real EEG and imaginary convolutional neural networks using associative memory matrices", Proc. SPIE 12542, Disruptive Technologies in Information Sciences VII, 125420F (15 June 2023); https://doi.org/10.1117/12.2663361

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