Bjørn Erik Juel

ORCID: 0000-0003-0550-581X
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About
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Research Areas
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Psychedelics and Drug Studies
  • Anesthesia and Sedative Agents
  • Reinforcement Learning in Robotics
  • Sleep and Wakefulness Research
  • Neural and Behavioral Psychology Studies
  • Statistical Mechanics and Entropy
  • Experimental and Theoretical Physics Studies
  • Cognitive Science and Education Research
  • Language and cultural evolution
  • Generative Adversarial Networks and Image Synthesis
  • Model Reduction and Neural Networks
  • Optical Imaging and Spectroscopy Techniques
  • Neurotransmitter Receptor Influence on Behavior
  • Treatment of Major Depression
  • Neural Networks and Applications
  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Sleep and Work-Related Fatigue
  • Sleep and related disorders
  • Embodied and Extended Cognition

Vestre Viken Hospital Trust
2024

University of Oslo
2018-2023

University of Wisconsin–Madison
2020-2023

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies essential (axioms), infers necessary and sufficient that its substrate must satisfy (postulates), expresses them mathematical In principle, postulates can be applied any system units a state determine whether it is conscious, what degree, way. offers parsimonious explanation empirical evidence, makes testable predictions concerning...

10.1371/journal.pcbi.1011465 article EN cc-by PLoS Computational Biology 2023-10-17

Although sleep deprivation has long been known to negatively affect cognitive performance, the exact mechanisms through which it acts and what domains are affected most is still disputed. The current study provides a theory-driven approach examine explain detrimental effects of loss with focus on attention control.Twenty-four participants (12 females; age: 24 ± 3 years) completed experiment that involved laboratory-controlled over-night two control conditions, namely, normally rested night...

10.1093/sleep/zsz016 article EN SLEEP 2019-01-14

How and to what extent electrical brain activity reflects pharmacologically altered states contents of consciousness, is not well understood. Therefore, we investigated whether measures evoked spontaneous electroencephalographic (EEG) signal diversity are by sub-anaesthetic levels ketamine compared normal wakefulness, how these relate subjective experience. High-density 62-channel EEG was used record responses transcranial magnetic stimulation (TMS) in 10 healthy volunteers before during...

10.1371/journal.pone.0242056 article EN cc-by PLoS ONE 2020-11-23

In a recent electroencephalography (EEG) sleep study inspired by complexity theories of consciousness, we found that multi-channel signal diversity progressively decreased from wakefulness to slow wave sleep, but failed find any significant difference between dreaming and non-dreaming awakenings within the same stage (NREM2). However, did Lempel-Ziv (LZC) measured over posterior cortex increased with more perceptual ratings NREM2 dream experience along thought-perceptual axis. this follow-up...

10.3389/fnhum.2022.987714 article EN cc-by Frontiers in Human Neuroscience 2023-01-10

In the field of consciousness science, there is a tradition to categorize certain states such as slow-wave non-REM sleep and deep general anesthesia “unconscious”. While this categorization seems reasonable at first glance, careful investigations have revealed that it not so simple. Given (1) behavioral signs (un-)consciousness can be unreliable, (2) subjective reports and, (3) presumed unconscious are always devoid reported experience, reasons reexamine our traditional assumptions about...

10.3389/fnhum.2022.987051 article EN cc-by Frontiers in Human Neuroscience 2022-10-05

Abstract It remains unclear how specific cortical regions contribute to the brain’s overall capacity for consciousness. Clarifying this could help distinguish between theories of Here, we investigate association markers regionally (de)activation and We recorded electroencephalographic responses electrical stimulation in six rats computed Perturbational Complexity Index state-transition (PCIST), which has been extensively validated as an index consciousness humans. also estimated balance...

10.1093/nc/niac004 article EN cc-by Neuroscience of Consciousness 2022-01-01

Objective: The objective of this study was to test whether properties one second segments spontaneous scalp EEG activity can be used automatically distinguish the awake state from anesthetized in patients undergoing general propofol anesthesia. Methods: 25 channel recorded 10 intravenous anesthesia with remifentanil during anterior cervical discectomy and fusion. From this, we extracted by applying Directed Transfer Function (DTF) directly every one-second segment raw, signal. were develop a...

10.3389/fnhum.2018.00040 article EN cc-by Frontiers in Human Neuroscience 2018-02-20

Several theories link consciousness to complex cortical dynamics, as suggested by comparison of brain signal diversity between conscious states and where is lost or reduced. In particular, Lempel-Ziv complexity, amplitude coalition entropy synchrony distinguish wakefulness REM sleep from deep anesthesia, are elevated in psychedelic states, reported increase the range vividness contents. Some studies have even found correlations complexity measures facets self-reported experience. As...

10.3389/fpsyg.2021.655884 article EN cc-by Frontiers in Psychology 2021-04-23

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies essential (axioms), infers necessary and sufficient that its substrate must satisfy (postulates), expresses them mathematical In principle, postulates can be applied any system units a state determine whether it is conscious, what degree, way. offers parsimonious explanation empirical evidence, makes testable predictions, permits...

10.48550/arxiv.2212.14787 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Integrated information theory (IIT) proposes a measure of integrated information, termed Phi (Φ), to capture the level consciousness physical system in given state. Unfortunately, calculating Φ itself is currently possible only for very small model systems and far from computable kinds typically associated with (brains). Here, we considered several proposed heuristic measures computational approximations, some which can be applied larger systems, tested if they correlate well Φ. While these...

10.3390/e21050525 article EN cc-by Entropy 2019-05-24

Knowledge of which brain properties are required for consciousness is essential improving clinical diagnostics and therapy as well investigating per se. The search such has yielded many methods measures distinguishing conscious apparently unconscious states. Here, we present a systematic literature review 255 electroencephalography (EEG)-based in humans. We show that based on signal diversity event related potentials appear to be the most consistent. Specifically, spectral entropy, Lempel...

10.31234/osf.io/sjm4a preprint EN 2020-12-22

In the Wada test, one hemisphere is selectively anaesthetised by unilateral intracarotid injection of a fast-acting anaesthetic agent. This gives unique opportunity to observe functions and physiological activity while anaesthetising other, allowing direct comparisons between brain states hemispheres that are not possible in any other setting.To test whether potential measures consciousness would be affected selective anaesthesia hemisphere, reliably distinguish anesthetised non-anesthetised...

10.1016/j.neuroimage.2020.117566 article EN cc-by NeuroImage 2020-11-20

Magneto/electroencephalography (M/EEG) studies of dreaming are an essential paradigm in the investigation neurocognitive processes human consciousness during sleep, but they limited by number observations that can be collected per study. Dream research also involves substantial methodological and conceptual variability, which poses problems for integration results. To address these issues, here we present DREAM database—an expanding collection standardized datasets on sleep M/EEG combined...

10.31234/osf.io/69e43 preprint EN 2023-05-16

An agent's actions can be influenced by external factors through the inputs it receives from environment, as well internal factors, such memories or intrinsic preferences. The extent to which an are caused within, opposed being externally driven, should depend on its sensor capacity environmental demands for memory and context-dependent behavior. Here, we test this hypothesis using simulated agents (animats), equipped with small adaptive Markov Brains (MB) that evolve solve a...

10.1162/isal_a_00207.xml article EN cc-by The 2019 Conference on Artificial Life 2019-01-01

An agent's actions can be influenced by external factors through the inputs it receives from environment, as well internal factors, such memories or intrinsic preferences.The extent to which an are "caused within", opposed being externally driven, should depend on its sensor capacity environmental demands for memory and context-dependent behavior.Here, we test this hypothesis using simulated agents ("animats"), equipped with small adaptive Markov Brains (MB) that evolve solve a...

10.1162/isal_a_00207 article EN cc-by The 2019 Conference on Artificial Life 2019-01-01

Abstract Objective How and to what extent electrical brain activity is affected in pharmacologically altered states of consciousness, where it mainly the phenomenological content rather than level consciousness that altered, not well understood. An example moderately psychedelic state caused by low doses ketamine. Therefore, we investigated whether how measures evoked spontaneous electroencephalographic (EEG) signal diversity are sub-anaesthetic levels ketamine compared normal wakefulness,...

10.1101/508697 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2019-01-02

Abstract Background Developing and testing methods for reliably assessing states of consciousness in humans is important both basic research clinical purposes. Several potential measures, partly grounded theoretical developments, have been proposed, some them seem to distinguish between conscious unconscious brain states. However, the degrees which these measures may also be affected by changes activity or conditions that can occur within rarely tested. In this study we test whether several...

10.1101/586149 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-03-22

Integrated information theory (IIT) argues that the substrate of consciousness is a maximally irreducible complex units. Together, subsets specify cause-effect structure, composed distinctions and their relations, which accounts in full for quality experience. The feeling specific experience also its meaning subject, thus defined intrinsically, regardless whether occurs dream or triggered by processes environment. Here we extend IIT's framework to characterize relationship between intrinsic...

10.48550/arxiv.2412.21111 preprint EN arXiv (Cornell University) 2024-12-30

Developing and testing methods for reliably measuring the state of consciousness individuals is important both basic research clinical purposes. In recent years, several promising measures consciousness, grounded in theoretical developments, have been proposed. However, degrees to which these are affected by changes brain activity that not related degree has well tested. this study, we examined whether modulated loading cognitive resources.

10.3390/brainsci14090919 article EN cc-by Brain Sciences 2024-09-13

Integrated information theory (IIT) proposes a measure of integrated (Φ) to capture the level consciousness for physical system in given state. Unfortunately, calculating Φ itself is currently only possible very small model systems, and far from computable kinds systems typically associated with (brains). Here, we consider several proposed measures computational approximations, some which can be applied larger test if they correlate well Φ. While these approximations...

10.20944/preprints201904.0077.v1 preprint EN 2019-04-08

An agent's actions can be influenced by external factors through the inputs it receives from environment, as well internal factors, such memories or intrinsic preferences. The extent to which an are "caused within", opposed being externally driven, should depend on its sensor capacity environmental demands for memory and context-dependent behavior. Here, we test this hypothesis using simulated agents ("animats"), equipped with small adaptive Markov Brains (MB) that evolve solve a...

10.48550/arxiv.1904.02995 preprint EN other-oa arXiv (Cornell University) 2019-01-01

We test whether a measure based on the directed transfer function (DTF) calculated from short segments of electroencephalography (EEG) time-series can be used to monitor state patients also during sevoflurane anesthesia as it for undergoing propofol anesthesia. collected and analyzed 25-channel EEG 7 (3 females, ages 41-56 years) surgical with sevoflurane, quantified sensor space connectivity every 1-s epoch using DTF. The resulting parameters were compared corresponding our previous study...

10.1007/s10877-020-00603-x article EN cc-by Journal of Clinical Monitoring and Computing 2020-10-16
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