Our brains sense the future through a new quantum-like implicit learning mechanism
Open accessAbstract
BACKGROUND: Imagine if our brains could unconsciously predict future events. This study explores this concept, presenting evidence for an inherent 'foreseeing' ability, termed anomalous cognition (AC). We introduce a new experimentally verifiable approach to explain anomalous information anticipation (AIA), a type of AC, based on an innovative, quantum-like model of implicit learning, grounded in Nonlocal Plasticity Theory (NPT). METHODS: Our research involved 203 participants using methods such as continuous flash suppression, random dot motion, and advanced 3D EEG neuroimaging, along with IBM quantum random event generators for precise measurements across 144 trials. These trials tested contingencies between undetectable sensory stimuli and dot movements, focusing on participants' prediction abilities. The design conditions were strictly experimental, violating fundamental classical learning principles, particularly reflex conditioning. If these principles were immutable, their violation would prevent any systematic behavioral changes, resulting in random responses. This violation was implemented through two quantum physics concepts: the mathematical principle of nonlocality and entanglement. RESULTS: Despite the sensory stimulus being inaccessible, our results showed a significant prediction between the contingencies and an increase in AIA accuracy, with explained variances between 25 % and 48 %. EEG findings supported this, showing a positive link between brain activity in specific regions and AIA success. Electrochemical activations were detected in the posterior occipital cortex, the intraparietal sulcus, and the medial temporal gyri. AIA hits exceeded the threshold value corresponding to one standard deviation above the expected mean, showing moderate effect sizes in the experimental group (Cohen's d = 0.461). Analyzing the learning curve using the derivation technique, we identified the acceleration point of the wave function, indicating systematic implicit learning. This result showed that from repetition 63 onwards, AIA hits increased significantly. CONCLUSIONS: The results suggest that, despite violating fundamental classical learning principles, cognitive processes produced changes in participants' responses susceptible to neuromodulation, considering quantum physics principles of nonlocality and entanglement (both present in NPT). We discuss (a) why the priming effect does not explain the significant results; (b) the potential discovery of a new form of quantum-like implicit learning, which could scientifically resolve phenomena associated with anomalous cognitions (e.g., AIA); and (c) future research directions, including potential applications and clinical impact.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
EEG studies using quantum-randomized or entanglement-structured stimulus generation show anticipatory activity patterns and behavioral signatures.
“EEG studies using quantum-randomized or entanglement-structured stimulus generation show anticipatory activity patterns and behavioral signatures that some authors argue are not readily captured by standard classical conditioning models [19,20].”
From Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints (2026) · cites this paper as [19]
These paradigms incorporate biomarkers of neuroplasticity-BDNF, salivary alpha-amylase-within preregistered designs.
“Importantly, these paradigms incorporate biomarkers of neuroplasticity—BDNF, salivary alpha-amylase—within preregistered designs, reflecting the methodological maturation of the field.”
From Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints (2026) · cites this paper as [19]
Latent quantum-transfer patterns serve to optimize classical learning processes.
“For readers less familiar with statistical mathematics, we emphasize a key point that underpins the value of all this research: latent quantum-transfer patterns serve to optimize classical learning processes.”
From Mathematical proof of the Fisher-Escolà <i>Q</i> statistical distribution in quantum consciousness modeling (2025) · cites this paper as [15]
A single density matrix can generate multiple sequences of binary collapses attributable to qubits.
“A single density matrix can generate multiple sequences of binary collapses attributable to qubits (as demonstrated by [15], [12]).”
From Mathematical proof of the Fisher-Escolà <i>Q</i> statistical distribution in quantum consciousness modeling (2025) · cites this paper as [15]
This optimization from latent patterns is statistically significant and stable according to previous biological findings.
“Although modest, this optimization is statistically significant and stable according to previous biological findings [12], [15], [42], [58].”
From Mathematical proof of the Fisher-Escolà <i>Q</i> statistical distribution in quantum consciousness modeling (2025) · cites this paper as [15]
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154 · see citing works
An effect size primer: A guide for clinicians and researchers.
Ferguson, C. J. (2009) · Professional Psychology: Research and Practice · doi:10.1037/a0015808 · Cited by 3,467 · see citing works
Facing up to the problem of consciousness
Chalmers, D. J. (1996) · Toward a Science of Consciousness · doi:10.7551/mitpress/6860.003.0003 · Cited by 1,966 · see citing works
Conditioned Reflexes: an Investigation of the Physiological Activity of the Cerebral Cortex
Denny-Brown, D. E. (1928) · Nature · doi:10.1038/121662a0 · Cited by 1,854 · see citing works
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works
Quantum nonlocality without entanglement
Bennett, C. H., Divincenzo, D. P., Fuchs, C. A., Mor, T., Rains, E. M., Shor, P. W., Smolin, J. A., & Wootters, W. K. (1999) · Physical Review A · doi:10.1103/physreva.59.1070 · Cited by 1,116 · see citing works
Importance of quantum decoherence in brain processes
Tegmark, M. (2000) · Physical Review E · doi:10.1103/physreve.61.4194 · Cited by 776 · see citing works
Dan‐Glauser, E., & Scherer, K. R. (2011) · Behavior Research Methods · doi:10.3758/s13428-011-0064-1 · Cited by 739 · see citing works
Contextual sensitivity in scientific reproducibility
Van Bavel, J. J., Mende-Siedlecki, P., Brady, W. J., & Reinero, D. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521897113 · Cited by 398 · see citing works
Cortical and Subcortical Correlates of Electroencephalographic Alpha Rhythm Modulation
Feige, B., Scheffler, K., Esposito, F., Salle, F. D., Hennig, J., & Seifritz, E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00721.2004 · Cited by 362 · see citing works
Reber, P. J. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.06.019 · Cited by 296 · see citing works
Handbook of Applied Behavior Analysis
Matson, J. L. (2023) · Autism and child psychopathology series · doi:10.1007/978-3-031-19964-6 · Cited by 210 · see citing works
Making the hard problem of consciousness easier
Melloni, L., Mudrik, L., Pitts, M., & Koch, C. (2021) · Science · doi:10.1126/science.abj3259 · Cited by 190 · see citing works
Experience replay is associated with efficient nonlocal learning
Liu, Y., Mattar, M. G., Behrens, T. E. J., Daw, N. D., & Dolan, R. J. (2021) · Science · doi:10.1126/science.abf1357 · Cited by 187 · see citing works
Non-locality and locality in the stochastic interpretation of quantum mechanics
Böhm, D., & Hiley, B. J. (1989) · Physics Reports · doi:10.1016/0370-1573(89)90160-9 · Cited by 155 · see citing works
Could a Large Language Model be Conscious?
Chalmers, D. J. (2023) · arXiv · doi:10.48550/arxiv.2303.07103 · Cited by 143 · cited 1× · see citing works
“…and mastery of a new language (Hebishima et al., 2023); research based on EEG data indicates that certain mental states prior to word memorization in a new language facilitate linguistic learning (see Huang et al., 2023) and also shape each individual’s sensory experience (Chalmers, 2023).”
BackgroundCleeremans, A., Achoui, D., Beauny, A., Keuninckx, L., Martin, J.-R., Muñoz-Moldes, S., Vuillaume, L., & de Heering, A. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.11.011 · Cited by 142 · see citing works
Conditioning as a principle of learning.
Guthrie, E. R. (1930) · Psychological Review · doi:10.1037/h0072172 · Cited by 137 · see citing works
Explicit and implicit learning of event sequences: Evidence from event-related brain potentials.
Martin Eimer, A., Goschke, T., Schlaghecken, F., & Stürmer, B. (1996) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.22.4.970 · Cited by 124 · see citing works
Quantum amplification and simulation of strong and ultrastrong coupling of light and matter
Qin, W., Kockum, A. F., Muñoz, C. S., Miranowicz, A., & Nori, F. (2024) · Physics Reports · doi:10.1016/j.physrep.2024.05.003 · Cited by 112 · see citing works
Searching for the impossible: Parapsychology’s elusive quest.
Reber, A. S., & Alcock, J. E. (2019) · American Psychologist · doi:10.1037/amp0000486 · Cited by 101 · see citing works
Parapsychology: A handbook for the 21st century
Cardeña, E., Palmer, J. A., & Marcusson‐Clavertz, D. (2015) · Lund University Publications (Lund University) · Cited by 90 · see citing works
A survey on the complexity of learning quantum states
Anshu, A., & Arunachalam, S. (2023) · Nature Reviews Physics · doi:10.1038/s42254-023-00662-4 · Cited by 88 · see citing works
Entanglement: quantum or classical?
Paneru, D., Cohen, E., Fickler, R., Boyd, R. W., & Karimi, E. (2020) · Reports on Progress in Physics · doi:10.1088/1361-6633/ab85b9 · Cited by 84 · see citing works
Mathewson, K. E., Basak, C., Maclin, E. L., Low, K. A., Boot, W. R., Kramer, A. F., Fabiani, M., & Gratton, G. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01474.x · Cited by 83 · see citing works
Quantum learning robust against noise
Cross, A. W., Smith, G., & Smolin, J. A. (2015) · Physical Review A · doi:10.1103/physreva.92.012327 · Cited by 80 · see citing works
An Assessment of the Evidence for Psychic Functioning
Utts, J. M. (2019) · Journal of Parapsychology · doi:10.30891/jopar.2018s.01.10 · Cited by 80 · see citing works
Phosphene phenomenon: A new concept
Bókkon, I. (2008) · Biosystems · doi:10.1016/j.biosystems.2008.02.002 · Cited by 65 · see citing works
Measuring Intuition: Nonconscious Emotional Information Boosts Decision Accuracy and Confidence
Lufityanto, G., Donkin, C., & Pearson, J. (2016) · Psychological Science · doi:10.1177/0956797616629403 · Cited by 63 · see citing works
Learning and the Evolution of Conscious Agents
Jablonka, E., & Ginsburg, S. (2022) · Biosemiotics · doi:10.1007/s12304-022-09501-y · Cited by 61 · see citing works
Wahbeh, H., Radin, D. I., Cannard, C., & Arnaud Delorme, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.955594 · Cited by 58 · see citing works
Kekecs, Z., Pálfi, B., Szászi, B., Szécsi, P., Zrubka, M., Kovács, M., Bakos, B. E., Cousineau, D., Tressoldi, P. E., Schmidt, K., et al. (2023) · Royal Society Open Science · doi:10.1098/rsos.191375 · Cited by 58 · see citing works
Generalised Quantum Theory—Basic Idea and General Intuition: A Background Story and Overview
Walach, H., & von Stillfried, N. (2011) · Axiomathes · doi:10.1007/s10516-010-9145-5 · Cited by 55 · see citing works
What is consciousness? Artificial intelligence, real intelligence, quantum mind and qualia
Kauffman, S. A., & Roli, A. (2022) · Biological Journal of the Linnean Society · doi:10.1093/biolinnean/blac092 · Cited by 55 · see citing works
Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory
Chai, M. T., Amin, H. U., Izhar, L. I., Saad, M. N. M., Rahman, M. A., Malik, A. S., & Tang, T. B. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00066 · Cited by 54 · see citing works
Alpha-band EEG activity in perceptual learning
Bays, B. C., Visscher, K., Dantec, C. C. L., & Seitz, A. R. (2015) · Journal of Vision · doi:10.1167/15.10.7 · Cited by 53 · see citing works
Ort, A., Smallridge, J. W., Sarasso, S., Casarotto, S., von Rotz, R., Casanova, A., Seifritz, E., Preller, K. H., Tononi, G., & Vollenweider, F. X. (2023) · iScience · doi:10.1016/j.isci.2023.106589 · Cited by 47 · see citing works
Consciousness hunt yields results but not clarity
Finkel, E. A. (2023) · Science · doi:10.1126/science.adj4498 · Cited by 45 · see citing works
Decades-long bet on consciousness ends — and it’s philosopher 1, neuroscientist 0
Lenharo, M. (2023) · Nature · doi:10.1038/d41586-023-02120-8 · Cited by 40 · see citing works
Seeing consciousness through the lens of memory
LeDoux, J. E., & Lau, H. C. (2020) · Current Biology · doi:10.1016/j.cub.2020.08.008 · Cited by 39 · see citing works
Quantum aspects of the brain-mind relationship: A hypothesis with supporting evidence
Kauffman, S. A., & Radin, D. I. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104820 · Cited by 38 · see citing works
Wessel, J. R., Haider, H., & Rose, M. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2982-7 · Cited by 35 · see citing works
Meta-analysis that conceals more than it reveals: Comment on Storm et al. (2010).
Hyman, R. (2010) · Psychological Bulletin · doi:10.1037/a0019676 · Cited by 31 · see citing works
Neural oscillatory mechanisms during novel grammar learning underlying language analytical abilities
Kepinska, O., Pereda, E., Caspers, J., & Schiller, N. O. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.10.003 · Cited by 31 · see citing works
Consciousness induced restoration of time symmetry (CIRTS): a psychophysical theoretical perspective
Bierman, D. J. (2010) · UvA-DARE (University of Amsterdam) · Cited by 28 · see citing works
Learning to Use Extrasensory Perception
Land, R. I., & Tart, C. T. (1980) · Leonardo · doi:10.2307/1578008 · Cited by 25 · see citing works
Esser, S., Lustig, C., & Haider, H. (2021) · Psychological Research · doi:10.1007/s00426-021-01594-3 · Cited by 24 · see citing works
Remote Viewing: A 1974-2022 Systematic Review and Meta-Analysis
Tressoldi, P. E., & Katz, D. L. (2023) · Journal of Scientific Exploration · doi:10.31275/20232931 · Cited by 23 · see citing works
Short- and long-term neuroplasticity interact during the perceptual learning of concurrent speech
MacLean, J. A., Stirn, J. R., Sisson, A., & Bidelman, G. M. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhad543 · Cited by 23 · see citing works
Reflections of Idiographic Long-Term Memory Characteristics In Resting-State Neuroimaging Data
Zhou, P., Sense, F., van Rijn, H., & Stocco, A. (2020) · Cognition · doi:10.1016/j.cognition.2021.104660 · Cited by 22 · see citing works
Cao, N., Pi, Y., Qiu, F., Wang, Y., Xia, X., Liu, Y., & Zhang, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119406 · Cited by 21 · see citing works
May, E. C. (1996) · Cited by 20 · see citing works
Evaluation of the Program on Anomalous Mental Phenomena
Hyman, R. (1995) · Cited by 20 · see citing works
Consciousness, (meta)cognition, and culture
Frith, C. (2023) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218231164502 · Cited by 20 · see citing works
Applications of Decision Augmentation Theory
May, E. C., Spottiswoode, S. J. P., Utts, J. M., & James, C. L. (1995) · Journal of Parapsychology · Cited by 18 · see citing works
Advancements in Applications of Quantum Entanglement
Yu, Y. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2012/1/012113 · Cited by 17 · see citing works
Yamamoto, S., Ishii, D., Ishibashi, K., & Kohno, Y. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.890963 · Cited by 17 · see citing works
Rethinking Extrasensory Perception
Marwaha, S. B., & May, E. C. (2015) · SAGE Open · doi:10.1177/2158244015576056 · Cited by 16 · see citing works
Huang, Y., Deng, Y., Kong, L., Zhang, X., Wei, X., Mao, T., Xu, Y., Jiang, C., & Rao, H. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120369 · Cited by 14 · see citing works
Hybrid quantum learning with data reuploading on a small-scale superconducting quantum simulator
Tolstobrov, A., Fedorov, G., Sanduleanu, S. V., Kadyrmetov, S., Vasenin, A. V., Bolgar, A. N., Kalacheva, D. A., Lubsanov, V. B., Dorogov, A., Zotova, J., et al. (2024) · Physical Review A · doi:10.1103/physreva.109.012411 · Cited by 14 · see citing works
Implicit sequence learning using auditory cues leads to modality-specific representations
Han, Y. C., & Reber, P. J. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-02001-z · Cited by 12 · see citing works
Psychic Phenomena and the Brain: Exploring the Neuropsychology of Psi
Lane, J. D. (2017) · Journal of Parapsychology · Cited by 11 · see citing works
Escolà‐Gascón, Á. (2020) · EXPLORE · doi:10.1016/j.explore.2020.11.009 · Cited by 10 · see citing works
Self-citationHuang, Y., Deng, Y., Jiang, X., Chen, Y., Mao, T., Xu, Y., Jiang, C., & Rao, H. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.953315 · Cited by 10 · see citing works
Skoe, E., Krizman, J., Spitzer, E. R., & Kraus, N. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.718230 · Cited by 9 · see citing works
Zhang, J., Huang, Y., Jiang, C., Xu, Y., Rao, H., & Hong, X. (2023) · Human Brain Mapping · doi:10.1002/hbm.26307 · Cited by 9 · see citing works
Modeling quantum optical phenomena using transition currents
Karnieli, A., Rivera, N., Giulio, V. D., Arie, A., de Abajo, F. J. G., & Kaminer, I. E. (2024) · Applied Physics Reviews · doi:10.1063/5.0156353 · Cited by 9 · see citing works
THE STRENGTH OF EVIDENCE VERSUS THE POWER OF BELIEF: ARE WE ALL BAYESIANS?
Utts, J. M., Norris, M., Suess, E. A., & Johnson, W. O. (2010) · Cited by 8 · see citing works
Quantum theory and parapsychology.
Millar, B. (2015) · Cited by 7 · see citing works
Follow‐up on the U.S. Central Intelligence Agency's (CIA) remote viewing experiments<sup>☆</sup>
Escolà‐Gascón, Á., Houran, J., Dagnall, N., Drinkwater, K., & Denovan, A. (2023) · Brain and Behavior · doi:10.1002/brb3.3026 · Cited by 6 · cited 2× · see citing works
“This approach represents a significant stride in addressing the hard problem of consciousness and delineating the boundaries of its purview (see Bierman, 2010; Chalmers, 1995; Cooley and Tukey, 1965; Escol ` a-Gasc ´ on et al., 2023; Huang et al., 2022; Hyman, 1996, 2010).”
Self-citationOn quantum entanglement, counterfactuals, causality and dispositions
Bigaj, T. (2017) · Synthese · doi:10.1007/s11229-016-1304-9 · Cited by 5 · see citing works
Exploring brain plasticity in developmental dyslexia through implicit sequence learning
Olivo, G., Persson, J., & Hedenius, M. (2024) · npj Science of Learning · doi:10.1038/s41539-024-00250-w · Cited by 5 · see citing works
Quantum dots: novel approach for biological imaging
Raut, N., Umekar, M. J., & Dhoble, S. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85278-4.00015-5 · Cited by 5 · see citing works
Hebishima, H., Arakaki, M., Dozono, C., Frolova, H., & Inage, S. (2023) · Biosystems · doi:10.1016/j.biosystems.2023.104840 · Cited by 4 · see citing works
Toward a “Parapsychological Synthesis”: Proposals for integrating theories of psi
Nahm, M. (2022) · Journal of Parapsychology · doi:10.30891/jopar.2022.02.04 · Cited by 4 · see citing works
Huang, Z., Wang, Y., Wang, C., Liu, G., Zhang, G., & Niu, J. (2024) · Journal of Molecular Modeling · doi:10.1007/s00894-024-05880-w · Cited by 4 · see citing works
Cognitive Neuroscience of Implicit Learning
Han, Y. C., Schmidt, K. D., Grandoit, E., Shu, P., McRobert, C. P., & Reber, P. J. (2022) · doi:10.1093/oso/9780197501573.003.0003 · Cited by 4 · see citing works
Memory and Consciousness—Usually in Tandem but Sometimes Apart
Madan, C. R. (2023) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000337 · Cited by 3 · see citing works
Classical conditioning of faciliatory paired-pulse TMS
Ewers, S. P., Dreier, T. M., Al-Bas, S., Schwenkreis, P., & Pleger, B. (2023) · Scientific Reports · doi:10.1038/s41598-023-32894-w · Cited by 3 · see citing works
Aksyuk, V. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2301.07016 · Cited by 1 · see citing works
Resources on Escolà-Gascón et al.'s (2023) remote viewing research per the original CIA experiments
Escolà‐Gascón, Á., Serra, M. V., Houran, J., Dagnall, N., Drinkwater, K. G., & Denovan, A. (2023) · EXPLORE · doi:10.1016/j.explore.2023.07.008 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
6 of the 88 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Evidence of quantum-entangled higher states of consciousness
Escolà-Gascón, Á. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.03.001 · Cited by 11 · see citing works
Self-citationEscolà-Gascón, Á., & Benito-León, J. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.04.025 · Cited by 4 · see citing works
Self-citationFascial Manual Medicine: A Continuous Evolution
Bordoni, B., & Escher, A. R. (2024) · Cureus · doi:10.7759/cureus.71442 · Cited by 3 · see citing works
Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints
Arias-Carrión, O., Ortega-Robles, E., & Manjarrez, E. (2026) · Brain Sciences · doi:10.3390/brainsci16040386 · Cited by 1 · see citing works
“EEG studies using quantum-randomized or entanglement-structured stimulus generation show anticipatory activity patterns and behavioral signatures that some authors argue are not readily captured by standard classical conditioning models [19,20].”
- Authors
- Escolà-Gascón, Á.
- ORCID
- Escolà-Gascón, Álex
- Venue
- Brain Research Bulletin
- Publisher
- Elsevier BV
- Published
- 2024-10
- Volume
- 216
- Pages
- 111048
- ISSN
- 0361-9230 (ISSN-L)
- OpenAlex
- W4401487045
- Semantic Scholar
- c37b2bbf287b7f39293dc7967dfcc75f0138d6d5
- Cited by
- 3
- References
- 88
- Citations by year
- 2025: 2 · 2024: 1
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain Research Bulletin (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Comillas Repository (Comillas Pontifical University) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Social Psychology › Paranormal Experiences and Beliefs
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Keywords
- anomalous cognition, nonlocality, quantum entanglement, continuous flash suppression, random dot motion, EEG activity, intraparietal sulcus, medial temporal gyrus, priming, neuromodulation
- MeSH terms
- Adult, Brain, Cognition, Electroencephalography, Female, Humans, Learning, Male, Quantum Theory, Young Adult, Anticipation, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review