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dc.contributor.authorEscolá Gascon, Alexes-ES
dc.date.accessioned2024-09-18T14:04:36Z
dc.date.available2024-09-18T14:04:36Z
dc.date.issued2024-10-01es_ES
dc.identifier.issn0361-9230es_ES
dc.identifier.urihttps://doi.org/10.1016/j.brainresbull.2024.111048es_ES
dc.identifier.urihttp://hdl.handle.net/11531/94253
dc.descriptionArtículos en revistases_ES
dc.description.abstract.es-ES
dc.description.abstractBackground: 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.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Brain Research Bulletin, Periodo: 1, Volumen: 216, Número: 111048, Página inicial: en linea, Página final: en líneaes_ES
dc.titleOur brains sense the future through a new quantum-like implicit learning mechanismes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderpolítica editoriales_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywords.es-ES
dc.keywordsImplicit learning Quantum-like learning Neuroplasticity Anomalous cognition Cortical neuroimaging Consciousnessen-GB


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