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Robert Kozma

4 papers in the library · publishing 2021-2025

Papers

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A study of different cognitive states for meditators and non-meditators with the use of multiple classification indices derived from the PSD of EEG data and lessons learned about cognitive states and the nature of intelligence in minds and machines.

Frontiers in Systems Neuroscience 2025 J J Joshua Davis, Florian Schübeler, Ian J. Kirk et al.

This study explores the layered coherence within human cognition as measured through EEG. Signals were collected from two groups (meditators vs. non-meditators) across six conditions: Meditation, Scrambled Words, Ambiguous Images, Math Mind, Sentences, and Video Watching. We analyzed the EEG data using Shannon Entropy, Pearson's Skewness, Total Power, and Dominant Frequency indices, now taken...

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted from EEG Data

Italian National Conference on Sensors January 23, 2023 J. Davis, Robert Kozma, Florian Schübeler

It has been proposed that meditative states show different brain dynamics than other more engaged states. It is known that when people sit with closed eyes instead of open eyes, they have different brain dynamics, which may be associated with a combination of deprived sensory input and more relaxed inner psychophysiological and cognitive states. Here, we study such states based on a previously...

Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments

Frontiers in Psychology November 10, 2021 Bernard J. Baars, Natalie Geld, Robert Kozma

In this work, we provide a brief overview of Global Workspace Theory (GWT), along with recent developments and clarifications of modern neuroscientific evidence. GWT started in the 1980s as a purely psychological theory of conscious cognition, and has become a prominent approach in scientific studies of consciousness (Mashour et al., 2020). Based on today’s far more detailed understanding of...

Evolutionary Advantages of Stimulus-Driven EEG Phase Transitions in the Upper Cortical Layers.

Frontiers in Systems Neuroscience 2021 Robert Kozma, Bernard J. Baars, Natalie Geld

Spatio-temporal brain activity monitored by EEG recordings in humans and other mammals has identified beta/gamma oscillations (20-80 Hz), which are self-organized into spatio-temporal structures recurring at theta/alpha rates (4-12 Hz). These structures have statistically significant correlations with sensory stimuli and reinforcement contingencies perceived by the subject. The repeated...