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When the Small Triggers the Big: Micro‑Triggers and the Emergence of Thinking

Title: When the Small Triggers the Big: Micro‑Triggers and the Emergence of Thinking
Authors: Molchanova, Olena; GPT-based Reasoning System (OpenAI)
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Thinking; Thinking/classification; Thinking/physiology; Thinking/ethics; insight; micro‑triggers; surprisal; associative networks; stochastic resonance; predictive coding; Attention; Attentional Bias; Knowledge Bases
Description: This paper addresses a seemingly paradoxical phenomenon: thought processes are often initiated not by large-scale inputs, but by small, unexpected micro‑triggers that shift the current frame of perception. The strength of a trigger lies not in its magnitude, but in its informational surprise against the background of existing knowledge. We propose a conceptual model at the intersection of associative psychology, predictive coding, and signal-to-noise theory: (i) the knowledge base creates the context and the 'energy landscape' for search; (ii) a micro‑trigger acts as a localized perturbation of high surprisal, lowering thresholds between representational states; (iii) weak noise can enhance signal detectability (stochastic resonance). Predictions, methodological implications, and limitations are discussed.
Document Type: article in journal/newspaper
Language: unknown
Relation: https://zenodo.org/records/17272239; oai:zenodo.org:17272239; https://doi.org/10.5281/zenodo.17272239
DOI: 10.5281/zenodo.17272239
Availability: https://doi.org/10.5281/zenodo.17272239; https://zenodo.org/records/17272239
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.94EF3B43
Database: BASE