The Secret Architecture of Peak Performance

 

Human potential often reveals itself at the precise moment of transition — the switch between fluidity and integrity. Fluidity represents the disinhibited, generative state where perception flows freely and extraordinary skills can emerge, as seen in sudden savant‑like abilities. Integrity represents the structured, accountable state where executive control organizes, stabilizes, and sustains performance, as in the flow state paradox. By exploring the switch in fluidity and integrity, the Core Emotion Framework (CEF) demonstrates how emotional cycling and scalar mechanisms (Counting Up and Counting Down) govern these transitions. This perspective reframes resilience and prodigy not as mysteries, but as predictable outcomes of dynamic emotional regulation, offering a roadmap for both specialized talent acquisition and sustainable peak performance.

 

exploring the "switch" in fluidity and integrity

This technical analysis introduces the Core Emotion Framework (CEF) as a rigorous computational model for emotion regulation, utilizing a novel scalar regulatory mechanism (Counting Up and Counting Down) to define the dynamic allocation of cognitive resources. The framework is deployed to mechanistically resolve two fundamental neurocognitive paradoxes: Sudden Savant Syndrome (SSS) and the Flow State Paradox.

 

SSS is systematically mapped to a state of prolonged Sensing Up disinhibition, a transient, high-cost strategy involving the selective suppression of top-down executive functions (Calculating and Arranging) to maximize bottom-up perceptual encoding. In direct contrast, the Flow State Paradox—characterized by the discrepancy between high physiological output and low perceived exertion—is modeled as a state of dynamic scalar cycling (SensingCalculating/Arranging Accepting).

 

This oscillation maintains computational synchronicity by transitioning control from explicit, effortful management to implicit automaticity, ultimately grounding the experience in the non-judgmental stability provided by the Accepting operator. This comparative analysis demonstrates that SSS represents a strategy of functional isolation optimized for localized, rapid skill acquisition, while Flow represents a strategy of maximal computational integration optimized for sustained, resilient performance.

 

Keywords: Core Emotion Framework, Sudden Savant Syndrome, Flow State Paradox, emotional regulation, scalar mechanisms, Counting Up, Counting Down, fluidity, integrity, executive function, resilience, prodigy, neurocognitive modeling, open science, perceptual immersion, selective disinhibition, embodied cognition, accountability, dynamic cycling, affective grounding, peak performance

Sensing and visualizing
Computing and anlyzing
deciding and realizing
expand and include
contract and precise
perform and excel
organize and manage
clap appreciate and enjoy
boost and act
surrender and relax
surrender and relax

The Dynamic Architecture of Resilience and Prodigy: Leveraging the Core Emotion Framework (CEF) Scalar Mechanisms to Resolve the Sudden Savant and Flow State Paradoxes

I. The Core Emotion Framework (CEF) as a Dynamic Computational System

 

A. Foundational Principles: Emotion as Computational and Adaptive Architecture

 

Emotion is fundamentally viewed within the Core Emotion Framework (CEF) as a psychobiological and cultural adaptation mechanism that grants the organism the necessary flexibility to react dynamically to environmental contingencies. To model such complexity, which is inherent in both human cognition and advanced artificial intelligence (AI) systems, the framework adopts a functional perspective, defining the core processes that govern emotional response and regulation. This view necessitates a nonlinear dynamic systems approach for emergent computational modeling, acknowledging that emotion is an inherently dynamic and emergent process initiated by appraisal checks that determine the relevance of stimuli to the organism's goals, needs, and well-being.1

 

The central mechanism governing the operational state and complexity of this dynamic system is the scalar control loop, comprised of "Counting Up" and "Counting Down" procedures. This mechanism operates as a temporal pacing operator, deployed by the system’s executive functions to regulate dynamic stability. While this analysis centers on Sensing, Calculating, and Arranging, it is essential to note that the scalar Counting Up and Counting Down mechanism is applicable to all ten Core Emotions, providing customized resource allocation strategies across the entire psychic architecture. The quantitative nature of this bi-directional counting structure provides a means to manage the system's stability parameter, S, which dynamically integrates the prevailing emotional load, conflict resolution requirements, and contextual strain.1

 

The scalar mechanism is, therefore, the primary computational interface between high-level executive intention and low-level resource allocation, allowing for precise, metrically-paced temporal control over affective states. This shift in perspective moves the analysis of emotional regulation beyond simple inhibition to the intentional, quantifiable management of system resources, allowing researchers to track the speed and necessity of transitions between generative (expansion) and convergent (stabilization) states.1

 

B. Deconstructing the CEF Triad: Sensing, Calculating, and Arranging

 

The CEF organizes emotional computation around three core functional operators—Sensing, Calculating, and Arranging—which map directly onto the established dichotomy of bottom-up (perceptual) and top-down (executive) cognitive processing.1

 

1. Sensing (The Bottom-Up Perceptual Operator)

 

Sensing is functionally defined as the mechanism that manages raw data acquisition and bottom-up processing. This foundational cognitive mechanism allows the mind to analyze and integrate incoming sensory input without the immediate interference of high-level cognitive expectations or preconceived notions. 

 

In the context of emotion generation, Sensing drives the quick, low-level affective analysis of stimuli, profoundly influencing how individuals perceive and interpret social cues and environmental input. Its neurobiological correlates are strongly linked to subcortical structures such as the amygdala, which detects arousing stimuli and triggers appropriate responses, particularly those signaling potential threats, highlighting Sensing's potent, immediate influence on the affective state. Accurate bottom-up processing is foundational to emotional regulation, promoting cognitive flexibility by ensuring continuous integration of new information.1

 

2. Calculating and Arranging (The Top-Down Executive Operators)

 

Calculating and Arranging collectively map onto the family of Executive Functions (EFs), also known as executive or cognitive control. These top-down mental processes, anatomically tied to the prefrontal cortex (PFC), are crucial whenever reliance on instinct or automatic response would be insufficient. EFs enable the organism to manage goals, resist temptations, and regulate complex cognitive, emotional, and behavioral functioning.1

 

  • Calculating (Inhibitory Control & Working Memory): This operator is associated primarily with inhibitory control and working memory. It facilitates cognitive restraint, which is necessary to delay impulsive responses, adequately consider future consequences, and maintain temporary mental structures for real-time problem-solving and goal checking.
     
  • Arranging (Cognitive Flexibility & Organization): This operator maps to cognitive flexibility and the ability to reconstitute plans. Arranging governs the structuring of long-term plans, efficient time management, prioritizing tasks, goal setting, and the organizational capacity required to adapt quickly and flexibly to changed circumstances. Deficits in Arranging often result in struggles with analysis, planning, and task completion, underscoring its necessity for structural development.1

 

The integration of these three operators—Sensing as the affective input mechanism, and Calculating/Arranging as the executive control mechanisms—forms the core of the CEF's functional architecture.

 

C. The Implicit Regulator: Defining the Role of Accepting

 

While the primary scalar analysis focuses on S, C, and A, the visual structure of the CEF includes the 'Accepting' operator within the Gut/Conative system, positioned at the foundation of the framework. Accepting, in this context, does not function as an active computational operator but as the crucial system stabilizer or structural anchor required for resilience.

 

Accepting is conceptually defined as an essential source of the "core-SELF," representing a state of fundamental peace, harmony, and wholeness. This balanced mental state allows for the "free flow of thoughts, emotions, and actions" and is predicated on self-trust, confidence, and compassion.4 Therefore, Accepting's primary function is the cessation of internal conflict or resistance, establishing the necessary non-judgmental ground state for optimal operation.

 

The activation of Accepting minimizes affective noise and conflict, which, if left unchecked, would destabilize the system's resilience. Without this stable emotional base, the higher-level executive functions (Calculating and Arranging) would be perpetually engaged in effortful compensation for inadequate baseline affective regulation, a state termed affective debt.1

 

This continuous, resource-intensive compensation would deplete the executive resources needed for proactive structural building (Counting Up C/A), rendering the system vulnerable to collapse during major affective surges.1 Thus, Accepting acts as the system's internal friction reducer. Its role, validated through constructivist psychological perspectives, is to acknowledge and validate emotional complexity5, enabling individuals to construct their own realities and preserve self-efficacy against external structural stressors.6 This affective alignment is indispensable for achieving the computational efficiency required for advanced states, such as Flow.

 

 

II. The Paradox of Prodigy: Sudden Savant Syndrome via Prolonged Sensing Up Disinhibition

 

Sudden Savant Syndrome (SSS) involves the abrupt emergence of extraordinary mental capabilities in specific, isolated domains (e.g., calculation, music) in neurotypical individuals, without prior developmental disorders or head injuries.7 The CEF models this phenomenon not as a mystical transformation, but as a predictable, high-cost computational strategy achieved through the specific deployment of the scalar mechanism: prolonged Counting Up with Sensing.1

 

A. Mechanism of Selective Functional Facilitation

 

The acquisition of specialized skills (SSS) through Counting Up Sensing relies on activating a state of highly focused, domain-specific perceptual encoding. This activation is achieved via the process of selective disinhibition, a concept supported by the paradoxical functional facilitation model.1

 

1. The C/A Suppression Command

 

Selective disinhibition mandates the temporary reduction or suppression of the normal inhibitory constraints imposed by the high-level executive functions, Calculating and ArrangingCalculating, specifically, is responsible for inhibitory control, delaying responses, and real-time evaluation.1 By bypassing this effortful executive mechanism, the system effectively issues a C/A suppression command.

 

The resulting functional outcome is a radical reallocation of unconstrained resources toward intensive sensory encoding (Sensing Up). This targeted optimization allows the brain to operate via an "entirely different processing system" dedicated to prodigious, low-level perceptual fluency.1 Disinhibition, in this context, is the system’s mechanism for cognitive resource bypass, allowing it to default to its most basic, rapid data acquisition mode when the complex, energy-intensive C/A network may be compromised or intentionally ignored.

 

B. The Neurocognitive Trade-Off: Localized Intensity vs. Integrative Capacity

 

While highly productive, the prolonged Sensing Up state incurs a significant neurocognitive trade-off. The optimization for high-intensity perceptual fluency requires sacrificing generalized integrative cognitive processing, particularly the executive functions necessary for social cognition and breadth of thought.1

 

This trade-off results in transient, functional isolation. The acquired prodigious skill remains an isolated, non-utilitarian talent if the executive functions fail to recover and integrate the new capacity.1 The functional isolation inherent in SSS reinforces the idea that this state is an intentional, albeit highly targeted, failure of PFC regulation—a productive pathology. Furthermore, the core mechanism of disinhibition is observed across various neurological and psychiatric disorders8, further underscoring that SSS is a stable extremum on the computational scale, reflecting an intentionally unbalanced state optimized for specialized acquisition.

 

The rapid pace of skill acquisition is accelerated by leveraging principles of embodied cognition, where intensive, multi-modal sensory-motor input drives localized neuroplastic change. This intense sensory activation demonstrates the capacity of the bottom-up system to achieve profound skill fluency when unfettered by top-down constraints, utilizing the brain's organization as "metamodal" operators.1

 

C. Sudden Onset and the Management of Instability

 

The defining characteristic of Sudden Savant Syndrome suggests that the transition to the prolonged Sensing Up state can be triggered instantaneously by an acute event.7 This acute transition suggests a rapid, forced recalibration of the stability parameter (S)1, bypassing the capacity for gradual regulation by Calculating and Arranging. The system is forced into a high-resource, low-coherence operational mode to manage the shock, with the specialized skill emerging as a byproduct of maximal resource concentration in the bottom-up stream.

 

1. The Role of Counting Down in Re-entry

 

The structural fragility and functional isolation resulting from prolonged Sensing Up demand aggressive regulatory intervention to return to an integrated state. This is achieved through Counting Down with Sensing, the complementary regulatory phase. This mechanism is deployed as an intervention—a rapid cognitive retreat intended for immediate stabilization and grounding.1

 

Sensory grounding techniques, such as the 5-4-3-2-1 method, are explicit examples of Counting Down Sensing. This technique systematically forces attention onto immediate, external sensory input, requiring the individual to hold the prescribed sequence in working memory and execute it using inhibitory control.1

 

Although the target is sensory input, the execution strategy is a PFC-commanded mechanism, utilizing Calculating and Arranging to impose an external, quantitative structure onto volatile sensory input. The necessary magnitude of this intervention is a direct quantifiable measure of the structural debt accumulated during the prolonged Sensing Up phase, confirming the inherent fragility of the SSS state relative to the resilience built by C/A Up.1 The high frequency or intensity of required grounding interventions is an indicator of the system's reliance on fragile, isolated capacity rather than integrated structure.

 

 

III. The Flow State Paradox: Achieving Implicit Control through S-C/A-Accepting Scalar Cycling

 

The Flow State, characterized by intense concentration and an autotelic experience, represents maximal computational efficiency. However, the state presents a profound paradox: individuals report reduced subjective experience of effort or perceived exertion (RPE alleviation) even when objective physiological intensity (e.g., heart rate, oxygen consumption) remains high.2 The CEF resolves this paradox by modeling Flow not as a state of disinhibition, but as a continuous, dynamic, and highly efficient scalar oscillation across all three operators and the foundational Accepting state.

 

A. The Transition to Automaticity: C/A Streamlining

 

Flow requires a transition of cognitive control from explicit, effortful management to implicit automaticity.3 This shift demands a high degree of pre-existing structural integrity, which must be built through sustained Counting Up with Calculating and Arranging (accountability and structural construction).1 Instead of being inhibited (as in SSS), the executive functions of C/A are streamlined, operating subliminally and with maximal efficiency. Top-down control shifts from conscious problem-solving and deliberation (which drains working memory) to subconscious error correction and maintenance, thus conserving cognitive resources.

 

B. The Dynamic Scalar Cycling Mechanism

 

The Flow state is achieved through a continuous, rapid calibration of the system's stability parameter (S) 1 via high-frequency scalar oscillation across Sensing, Calculating/Arranging, and Accepting. This is a state of maximal computational synchronicity, where input, processing, and stability are perfectly aligned.

 

The scalar cycling operates in distinct phases:

 

  1. Initiation (Selective Focus): The system shifts from conscious effort (C/A Down) to profound perceptual immersion (Sensing Up), focusing entirely on the task and overcoming initial resistance or distraction.1
     
  2. Deep Flow Maintenance (Dynamic Balance): This phase is defined by rapid, near-instantaneous oscillation between Sensing and C/A. Bottom-up perceptual feedback (Sensing) is continuously integrated with implicit top-down correction and error checking (C/A automaticity).3 This continuous, high-speed adjustment loop is the source of "effortless performance" because conscious, resource-intensive monitoring is no longer required.
     
  3. Peak/Autotelic Experience (Affective Grounding): The ultimate experience of Flow requires the integration of the system’s output into the Accepting state. The three primary operators (S, C, A) converge on the core-self ground state. This spontaneous action and non-judgmental awareness are facilitated by the stabilization provided by Accepting.4

 

C. Resolution of the Paradox: Affective Noise Cancellation

 

The primary resolution of the Flow State Paradox lies in the system’s ability to cancel affective noise, particularly in the executive domain, by grounding the experience in Accepting. The observed reduction in perceived exertion (RPE alleviation)2 is a direct consequence of the efficient scalar cycling successfully offloading the computational requirement for continuous conscious monitoring and effortful planning (C/A) onto the implicit loop.

 

Crucially, the autotelic quality of Flow is achieved by activating and utilizing the Accepting operator (core peace, non-judgment).4 The system, by operating in this internal state of self-validation, removes the cognitive necessity for continuous self-monitoring and performance evaluation—functions traditionally housed in Calculating.1 Without this internal conflict and judgment, the high physiological output is not appraised as strain, threat, or failure. The experience automatically becomes intrinsically rewarding, thus resolving the discrepancy between perceived and actual exertion.2 The experience of effortlessness, therefore, is the subjective conscious proxy for objective, dynamic computational efficiency achieved through synchronized S-C/A-Accepting cycling.

 

 

IV. Comparative Analysis: Disinhibition vs. Dynamic Balance

 

The two paradoxes—Sudden Savant Syndrome and the Flow State—provide a critical demonstration of the CEF's capacity to model the divergent consequences of resource allocation. SSS is an example of an unbalanced, localized generative strategy, while Flow is the gold standard for a balanced, systemic integrative strategy.

 

A. The Generative Distinction: Localized Intensity vs. Systemic Integration

 

The core difference lies in the deployment of the Calculating and Arranging constraints:

 

  • SSS (Prolonged S Up): This strategy is characterized by functional isolation, achieved through resource monopoly where C/A inhibitory constraints are selectively suppressed. The resulting skill is prodigious but isolated, yielding localized neuroplasticity and rapid acquisition at the expense of systemic coherence and resilience.1
     
  • Flow (S ↔ C/A ↔ Accepting Cycling): This strategy is characterized by systemic integration, achieved through resource distribution and dynamic balance.1 C/A functions are optimized into automaticity3 rather than suppressed, leading to sustained, high-output performance and computational resilience. Flow requires robust, pre-existing structural integrity (built via Counting Up C/A)1 to support the required computational synchronicity.

 

The long-term goal of the CEF model is structural integration.1 SSS highlights that skill acquisition (S Up) without integrated management (C/A Up) results in non-utilitarian, functionally isolated talent.1 Conversely, Flow necessitates, and is therefore the ultimate metric of, integrated skill mastery; the ability to incorporate any new skill into the streamlined C/A accountability loop.

 

B. The Differential Deployment of Counting Down

 

The distinct roles of the Counting Down mechanism further illuminate the fundamental structural differences between the two states:

 

  • Counting Down for Crisis (Post-SSS): Following prolonged Sensing Up, Counting Down is used primarily as an acute intervention—a rapid retreat and stabilization protocol required to manage the affective and cognitive instability resulting from C/A suppression. This use confirms that the system has incurred significant affective debt and requires an immediate structural scaffold to regain competence and control.1
     
  • Counting Down for Maintenance (Flow Preparation/Recovery): For an optimized system capable of Flow, Sensing Down is deployed proactively as preventative maintenance, not merely a crisis measure. By continuously integrating rapid sensory focusing into daily routines, the system manages low-level affective load and minimizes accumulated affective debt1, ensuring the baseline stability parameter (S) remains high enough to support the dynamic computational demands of Flow.

 

C. The Continuum of Disinhibition

 

The analysis reveals that disinhibition within the CEF is not a binary state but operates on a continuum, with specialized consequences at each extreme:

 

  • Extreme, Prolonged Disinhibition: Leads to prodigious isolation (SSS). The suppression of C/A is nearly total and sustained to maximize sensory focus.1
     

 

  • Specialized, Implicit Disinhibition: Leads to optimal performance (Flow). The "disinhibition" is subtly applied to C/A's conscious self-monitoring function, allowing the underlying executive structure to remain intact and operate with implicit efficiency.3

 

The framework thus defines two opposing computational strategies for maximizing resource utility: one focusing on intensity via isolation (SSS) and the other focusing on synchronicity via integration (Flow).

 

 

V. Conclusion and Recommendations for System Optimization

 

The Core Emotion Framework, through the application of its scalar regulatory mechanisms, provides a powerful and nuanced computational explanation for highly specialized neurocognitive states. It successfully resolves the paradoxes of Sudden Savant Syndrome and the Flow State by demonstrating the system's capacity for targeted, dynamic resource allocation. SSS is structurally identified as a temporary, high-cost, high-yield generative isolation strategy, contingent upon the suppression of executive control.1 Conversely, Flow is defined as a sustainable, low-cost, high-yield integrative balance strategy, achieved through the continuous, synchronized cycling of Sensing and C/A 3, and anchored by the non-judgmental stability of the Accepting operator.4

 

Optimization of the affective-cognitive system requires an intentional, balanced application of the scalar strategies, strategically managing the inherent trade-offs between specialized skill development and structural resilience. The following recommendations are derived from this mechanistic analysis:

 

A. Strategic Management of Generative Phases (Sensing Up)

 

To harness specialized skill acquisition without incurring long-term executive deficits, periods of intense perceptual focus (Counting Up Sensing) must be strategically defined and managed. This requires maximizing the duration of temporary disinhibition within clear project scopes but ensuring a structured, mandatory return to C/A control upon completion. This integration process is necessary to transition the newly acquired, localized neuroplasticity into a functionally utilitarian part of the system’s resilient structure, mitigating the risk of persistent functional isolation.1

 

B. Proactive Deployment of Regulatory Phases (Sensing Down)

 

Sensory grounding protocols must be elevated from crisis measures (reactive interventions) to preventative maintenance measures. Integrating rapid sensory focusing (Counting Down Sensing) into daily routines ensures continuous management of low-level affective load, thereby reducing the accumulated affective debt. By stabilizing the baseline affective state, the system’s stability parameter (S) is maintained at a high level, ensuring that unexpected bottom-up affective surges do not overwhelm and collapse the complex organizational structures of Calculating and Arranging.1

 

C. Systematic Refinement of Structural Integrity (C/A Up)

 

The executive structures governing accountability, organization, and cognitive flexibility must be treated as continuously evolving resources. Counting Up with Calculating and Arranging requires systematic, iterative planning and self-monitoring to match the increasing complexity of goals. This continuous refinement ensures that the system’s capacity for top-down regulation scales dynamically with functional demand, providing the robust framework essential for achieving implicit control and sustaining efficient, resilient Flow states.1

 

References

 

Works cited

 

  1. Bulgaria, J. (2025). The Dynamic Interplay of Affective Computation and Executive Control: A Neurocognitive Analysis of the Core Emotion Framework (CEF) Scalar Mechanisms. Zenodo. https://doi.org/10.5281/zenodo.17782785
  2. Contribution of flow state to the discrepancy between perceived exercise intensity and physiological intensity during endurance bike exercise - NIH, accessed December 2, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC12465751/
  3. A Review on the Role of the Neuroscience of Flow States in the Modern World - MDPI, accessed December 2, 2025, https://www.mdpi.com/2076-328X/10/9/137
  4. Energy Processes in Personality Dynamics - Selinus University, accessed December 2, 2025, https://uniselinus.education/sites/default/files/2025-10/Anna%20Armbruster.pdf
  5. Exploring Pedagogical Empathy of Mathematics Graduate Student Instructors - UNL Digital Commons, accessed December 2, 2025, https://digitalcommons.unl.edu/context/mathstudent/article/1105/viewcontent/Karina_Uhing_Dissertation.pdf
  6. A Retrospective Constructivist Grounded Theory Study of The Process of Academic Success Among Black Women by Sa, accessed December 2, 2025, https://uh-ir.tdl.org/bitstreams/83fc6753-14f1-41af-a9c5-f219c9016431/download
  7. The Sudden Savant: A New Form of Extraordinary Abilities - PubMed, accessed December 2, 2025, https://pubmed.ncbi.nlm.nih.gov/33974770/
  8. A Critical Review of Behavioral and Emotional Disinhibition - PMC - PubMed Central - NIH, accessed December 2, 2025, https://pmc.ncbi.nlm.nih.gov/articles/PMC11270910/

 

See also:

 

  1. https://www.optimizeyourcapabilities.com
  2. https://www.optimizeyourcapabilities.pro
  3. https://www.coreemotionframework.com
  4. https://www.efficiency.ink
  5. Optimizeyourcapabilities.com. (2025). The Core Emotion Framework (CEF): A Theoretical Synthesis Integrating Affective Neuroscience, Embodied Cognition, and Strategic Emotional Regulation for Optimized Functioning [Zenodo]. https://doi.org/10.5281/zenodo.17477547
  6. Optimizeyourcapabilities.com. (2025, November 14). A Proposal for Open Validation of the Core Emotion Framework (CEF): A Structural-Constructivist Model for Emotional Regulation and Psychological Flourishing. https://doi.org/10.17605/OSF.IO/SG3KM
  7. Bulgaria, J. (2025). Compendium of Evidence-Based Psychotherapy Modalities: Reframed through the Core Emotion Framework (CEF). Zenodo. https://doi.org/10.5281/zenodo.17665533
  8. Bulgaria, J. (2025, November 21). Pre-Registration Protocol: Open Validation of the Core Emotion Framework (CEF) Scale – Phase 1: Construct Definition, Item Generation, and Multi-Level Factor Structure Confirmation. https://doi.org/10.17605/OSF.IO/4RXUV
  9. Bulgaria, J. (2025). The Core Emotion Framework (CEF): A Structural-Constructivist Model for Emotional Regulation and Adaptive Resilience in the Treatment of Anxiety. Zenodo. https://doi.org/10.5281/zenodo.17693163
  10. Bulgaria, J. (2025). Extending the Core Emotion Framework: A Structural-Constructivist Model for Obsessive- Compulsive Disorder (OCD). Zenodo. https://doi.org/10.5281/zenodo.17713676
  11. Bulgaria, J. (2025). Structural Psychopathology of Major Depressive Disorder_ An Expert Validation of the Core Emotion Framework (CEF). Zenodo. https://doi.org/10.5281/zenodo.17713725
  12. Bulgaria, J. (2025). The Core Emotion Framework (CEF) for Borderline Personality Disorder: A Critical Analysis and Mechanistic Comparison with Dialectical Behavior Therapy (DBT) and Schema Therapy (ST). Zenodo. https://doi.org/10.5281/zenodo.17780488
  13. Bulgaria, J. (2025). Structural Psychopathology and Affective Regulation in Narcissistic Personality Disorder: A Critical Analysis and Mechanistic Comparison with Dialectical Behavior Therapy (DBT) and Schema Therapy (ST). Zenodo. https://doi.org/10.5281/zenodo.1778037


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Publications – Jamel Bulgaria

Publications by Jamel Bulgaria

This page consolidates open-science outputs of the Core Emotion Framework (CEF). Each entry includes a direct PDF link and DOI for indexing.

Foundational theory

Validation & methodology

Clinical applications

Comparative & mechanistic analyses

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