PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 3, 20260 citationsOpen Access

Cognitive Arrest (Brain Stop) and Rupture in Neural Data Through Repetition and Pressure: A Theory of Interrupted Awareness and the Possibility of Liberation

View Full Paper
RBRamin Bidari

Key Points

  • This paper aims to define cognitive arrest and explore its effects on awareness and consciousness.
  • Introduces theoretical concepts regarding cognitive arrest and its implications for awareness.
  • Analyzes how repetitive neural patterns and pressure affect brain function and awareness.
  • Identifies cognitive arrest as a state of low awareness caused by repetitive emotional loops.
  • Proposes that intense pressure may rupture existing neural patterns, allowing for an emergence of pure awareness.

Abstract

This paper introduces the concept of Cognitive Arrest (Brain Stop) as a condition in which the natural flow of awareness becomes interrupted within recorded, repetitive, and conditioned neural patterns. In this state, instead of moving freely in the present moment, awareness becomes trapped in past emotional data, engrams, and anxiety-based loops. Through the selective amplification of stressful events and their repeated representation, the brain assimilates the external world to the past and keeps the individual in a repetitive and low-awareness mode of life. The paper further argues that intense pressure, the collapse of previously dominant neural structures, or psychological pain can create a rupture in this cycle and open the possibility for the emergence of a freer and calmer level of awareness; a level referred to here as pure awareness. This model stands at the intersection of philosophy of consciousness, cognitive psychology, and the phenomenology of awareness.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ramin Bidari (2026) studied this question.

synapsesocial.com/papers/69f6e6e68071d4f1bdfc7837https://doi.org/10.5281/zenodo.19940247
Ask AI
Helpful
Bookmark
Share
View Full Paper