An exploratory simulation study and prediction model on human brain behavior and activity using an integration of...

Area of Science:

• Optoelectronics
• Biophysics
• Neuroscience

Background:

• Plasmonic antennas offer unique light-matter interaction properties.
• Mach-Zehnder interferometers (MZI) are sensitive optical devices.
• Rabi antennas, based on two-level system oscillations, are explored for novel applications.

Purpose of the Study:

• To develop a plasmonic antenna probe for human brain sensing.
• To investigate brain-Rabi antenna communication using photonic neural networks.
• To enable prediction of human thoughts, behaviors, and actions.

Main Methods:

• Construction of a silver rod-based plasmonic antenna within an MZI ad-drop filter.
• Simulation of the Rabi antenna using CST software and a communication device using Optiwave (OptiFDTD).
• Analysis of output signals using MATLAB, calculating antenna gain, sensor sensitivity, and utilizing machine learning algorithms.

Main Results:

• The proposed antenna operates in the 192-202 THz range with a maximum gain of 22.4 dBi.
• The sensor demonstrated sensitivity for detecting electron spin and human brain signals.
• Machine learning algorithms achieved a root mean square error (RMSE) of $$ in predicting transmissions.

Conclusions:

• The developed plasmonic antenna probe can effectively predict human mind, thoughts, and behavior.
• This technology holds significant potential for diagnosing neurodegenerative and psychological diseases.
• The system offers promising applications in security and understanding human cognitive processes.