Skip to main content

quantum-analogue-cloud-formalism

Quantum-analogue cloud-function formalism for modeling supraliminal information processing in large-scale brain networks. Combines neural field theory with Schrodinger-type equations for modeling conscious perception and decision-making phenomena like change-of-mind.

インストールへ移動

ソース情報

リポジトリ
hiyenwong/ai_collection
ソースの最終更新活動
2026年6月8日 08:11
検出された SKILL.md の言語
英語
スター
2
フォーク
0

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
quantum-analogue-cloud-formalism
description
Quantum-analogue cloud-function formalism for modeling supraliminal information processing in large-scale brain networks. Combines neural field theory with Schrodinger-type equations for modeling conscious perception and decision-making phenomena like change-of-mind.
category
neuroscience
tags
["quantum-cognition","neural-field-theory","consciousness","decision-making","cloud-function"]
created
2026-06-08T00:00:00.000Z
source
arXiv:2605.25214
# Quantum-Analogue Cloud-Function Formalism **Source**: "A Quantum-Analogue Formalism for Modeling Supraliminal Information Processing" (arXiv:2605.25214) **Categories**: q-bio.NC ## Overview Develops a novel cloud-function formalism describing the dynamical relationship between sensory-information processing in large-scale brain networks (supraliminal processing) and the content of the mental representation of an observed object. ## Core Methodology ### 1. Cloud Function Definition - Spatial structure inherits properties of perceived physical object - Temporal evolution governed by intrinsic properties of large-scale neural activity - Combines neural field theory with spatial characteristics of perceived objects ### 2. Governing Equation - Neural-field model with polynomial nonlinearities - Global phase-shift invariance of neural-pattern oscillations - Interpretable as Schrodinger-type equation with nonlinear non-Hermitian Hamiltonian - Includes terms analogous to Lotka-Volterra model ### 3. Change-of-Mind Phenomenon - Initial choice may be revised during execution - Arises from interplay between: - Fast preconscious sensory processing - Slower conscious comparison of alternatives - Consistent with neurophysiological evidence for continuous post-decisional evidence accumulation ### 4. Self-Interaction - Cloud-function self-interaction is necessary - Captures recursive nature of conscious processing ## Key Equations ``` Cloud Function: ψ(x,t) = f(neural_activity, perceived_object) Governing Equation: iℏ∂ψ/∂t = H[ψ]ψ + non-Hermitian terms + Lotka-Volterra terms H: nonlinear Hamiltonian with polynomial nonlinearities ``` ## Applications - **Decision-making models**: Change-of-mind, post-decisional evidence accumulation - **Consciousness research**: Supraliminal vs subliminal processing - **Neural field theory**: Large-scale brain network dynamics - **Cognitive modeling**: Perception-action coupling ## Activation Triggers - Keywords: cloud function, supraliminal, neural field, decision-making, change-of-mind, consciousness - Tasks: modeling conscious perception, decision-making dynamics, neural field simulations - Fields: cognitive neuroscience, consciousness research, mathematical psychology ## Pitfalls - This is a quantum-analogue formalism, not literal quantum effects in the brain - Non-Hermitian terms reflect dissipation, not quantum measurement - Cloud function is a mathematical construct, not a physical field
GitHubで見る