Our brains sense the future through a new quantum-like implicit learning mechanism

IF 3.5 3区 医学 Q2 NEUROSCIENCES
Álex Escolà-Gascón
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引用次数: 0

Abstract

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.

我们的大脑通过一种新的类似量子的隐式学习机制感知未来我们的大脑感知未来。
背景介绍想象一下,如果我们的大脑能够无意识地预测未来事件的发生。本研究探讨了这一概念,提出了一种固有 "预见 "能力的证据,这种能力被称为反常认知(AC)。我们以非局部可塑性理论(NPT)为基础,引入了一种可实验验证的新方法来解释反常信息预测(AIA),它是反常认知的一种类型:我们的研究涉及 203 名参与者,使用了连续闪光抑制、随机点运动和先进的 3D EEG 神经成像等方法,并使用 IBM 量子随机事件发生器对 144 次试验进行了精确测量。这些试验测试了无法察觉的感官刺激与点运动之间的或然性,重点考察参与者的预测能力。设计条件是严格的实验条件,违反了基本的经典学习原则,尤其是条件反射原则。如果这些原则是永恒不变的,那么违反这些原则就会阻止任何系统的行为变化,从而导致随机反应。这种违反是通过两个量子物理学概念实现的:非局域性数学原理和纠缠:尽管感官刺激是不可获取的,但我们的结果表明,或然率与 AIA 准确率的提高之间存在显著的预测关系,解释方差在 25% 到 48% 之间。脑电图研究结果也证实了这一点,显示特定区域的大脑活动与自动影响评估成功率之间存在正相关。在后枕叶皮层、顶内沟和内侧颞回检测到了电化学激活。AIA 成功率超过了与高于预期平均值一个标准差相对应的阈值,显示出实验组的中等效应大小(Cohen's d = 0.461)。通过使用推导技术分析学习曲线,我们确定了波函数的加速点,这表明存在系统的内隐学习。这一结果表明,从重复 63 开始,AIA 命中率显著增加:结果表明,尽管违反了基本的经典学习原则,但考虑到量子物理学的非局域性和纠缠性原则(两者都存在于 NPT 中),认知过程会使参与者的反应发生变化,并易受神经调节的影响。我们讨论了(a)为什么引物效应不能解释显著的结果;(b)量子类内隐学习新形式的潜在发现,它可以科学地解决与异常认知相关的现象(如 AIA 或眼外视觉);以及(c)未来的研究方向,包括潜在的应用和临床影响。
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来源期刊
Brain Research Bulletin
Brain Research Bulletin 医学-神经科学
CiteScore
6.90
自引率
2.60%
发文量
253
审稿时长
67 days
期刊介绍: The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.
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