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Quantum-like representation of neuronal networks’ activity: modelling “mental entanglement”
https://repo.qst.go.jp/records/2002806
https://repo.qst.go.jp/records/200280674e8c452-5bab-4dd7-863f-4edfb91b1c31
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2026-02-20 | |||||||||
| タイトル | ||||||||||
| タイトル | Quantum-like representation of neuronal networks’ activity: modelling “mental entanglement” | |||||||||
| 言語 | en | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者 |
Yamada Makiko
× Yamada Makiko
× Andrei Khrennikov
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| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Quantum-like modeling (QLM)– quantum theory applications outside of physics– are intensively developed with applications in biology, cognition, psychology, and decision-making. For cognition, QLM should be distinguished from quantum reductionist models in the spirit of Hameroff and Penrose and well as Umezawa and Vitiello. QLM is not concerned with just quantum physical processes in the brain but also QL information processing by macroscopic neuronal structures. Although QLM of cognition and decision-making has seen some success, it suffers from a knowledge gap that exists between oscillatory neuronal network functioning in the brain and QL behavioral patterns. Recently, steps toward closing this gap have been taken using the generalized probability theory and prequantum classical statistical field theory (PCSFT)– a random field model beyond the complex Hilbert space formalism. PCSFT is used to move from the classical “oscillatory cognition” of the neuronal networks to QLM for decision-making. In this study, we addressed the most difficult problem within this construction: QLM for entanglement generation by classical networks, i.e., “mental entanglement”. We started with the observational approach to entanglement based on operator algebras describing “local observables” and bringing into being the tensor product structure in the space of QL states. Moreover, we applied the standard states entanglement approach: entanglement generation by spatially separated networks in the brain. Finally, we discussed possible future experiments on “mental entanglement” detection using the EEG/MEG technique. | |||||||||
| 書誌情報 |
Frontiers in Human Neuroscience 発行日 2025-10 |
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| DOI | ||||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.3389/fnhum.2025.1685339 | |||||||||
