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Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

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Related Experiment Video

Updated: Apr 6, 2026

Human Fear Conditioning Conducted in Full Immersion 3-Dimensional Virtual Reality

Human Fear Conditioning Conducted in Full Immersion 3-Dimensional Virtual Reality

Published on: August 9, 2010

Quantum Brain Dynamics and Virtual Reality.

Akihiro Nishiyama¹, Shigenori Tanaka¹, Jack A Tuszynski²

¹Graduate School of System Informatics, Kobe University, 1-1 Rokkodai, Nada-ku, Kobe, 657-8501, Japan.

|June 27, 2024

Summary

This summary is machine-generated.

This study introduces a control theory for manipulating subjective experiences (qualia) using holographic principles within Quantum Brain Dynamics (QBD). Simulations show external electric fields can control holographic waveforms, enabling potential non-invasive brain stimulation and virtual reality applications.

Keywords:

Control theory Holography Quantum brain dynamics Quantum field theory Reservoir computing

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Area of Science:

Neuroscience
Quantum Physics
Cognitive Science

Background:

Subjective experiences (qualia) lack a clear mechanistic understanding.
Quantum Brain Dynamics (QBD) offers a framework for exploring consciousness.
The brain's information processing may involve holographic principles.

Purpose of the Study:

To propose a control theory for manipulating qualia using holographic principles in QBD.
To develop a hierarchical model of the neocortex for holographic manipulation.
To investigate the potential for non-invasive brain-computer interfaces.

Main Methods:

Utilizing the Lagrangian density in QBD.
Extending QBD to a hierarchical neocortical model.
Applying reservoir computing and morphological computation for waveform manipulation.

Main Results:

Numerical simulations demonstrate convergence to target holographic waveforms via external electric fields.
The proposed control theory is applicable to non-invasive neuronal stimulation.
The study provides a method to test if the brain utilizes holographic information processing.

Conclusions:

The developed control theory offers a novel approach to understanding and manipulating subjective experiences.
Successful application could lead to advanced virtual reality systems capable of direct qualia transmission.
This research opens avenues for exploring the holographic nature of brain function and consciousness.