ISHEA Institute Carlos J. Pérez Pulido
ES EN IT

Cognición colectiva · COG 008

El TDAH como configuración cognitiva sensible al contexto: un marco de coherencia

Un marco conceptual que lee el TDAH no como déficit sino como una configuración cuyo rendimiento depende del contexto: la coherencia surge de la energía y la información disponibles menos la fricción.

Firma de coherencia — generada a partir de los datos de esta obra

Pieza original en inglés.

🧠 ISHEA Cognitive Coherence Model

Description

The ISHEA Cognitive Coherence Model is a conceptual framework proposed by Carlos J. Pérez Pulido that describes cognitive performance as an emergent property of the interaction between cognitive resources, structured information, and systemic interference (friction).

The model is expressed through the functional relationship:

C ≈ (E × I) − F

Where:

C (Cognitive Coherence) refers to the degree of alignment between attention, cognition, and task execution

E (Energy) represents available cognitive resources, including attentional capacity and mental stamina

I (Information) refers to the structure and clarity of task-relevant input

F (Friction) represents interference factors such as interruptions, ambiguity, stress, and task switching

The framework integrates insights from flow theory, cognitive load theory, and task-switching research into a unified systems-level interpretation of cognition.


Theoretical Foundations

The model builds upon established research domains:

Flow theory, introduced by Mihaly Csikszentmihalyi, which describes optimal states of deep focus and intrinsic motivation

Cognitive load theory, which emphasizes the limited capacity of working memory

Task-switching research, which demonstrates the performance costs of multitasking and attentional shifts

The ISHEA model attempts to integrate these domains by proposing that cognitive efficiency depends on the alignment between resources (E), structured information (I), and minimal interference (F).


Information Decomposition

A central contribution of the model is the decomposition of the information variable (I) into three operational components:

I₁: Goal clarity — the degree to which task objectives are explicit and unambiguous

I₂: Feedback immediacy — the speed and relevance of performance feedback

I₃: Task structure — the organization and sequencing of task components

This decomposition allows for experimental manipulation and measurement in applied settings.


System States

The model describes three primary cognitive states:

Δ+1 (High coherence / flow): High E × I and low F, associated with sustained attention and high performance

Δ0 (Transitional state): Balance between E × I and F, associated with unstable or fluctuating performance

Δ−1 (Low coherence / breakdown): Low E × I or high F, associated with cognitive fatigue, distraction, and error accumulation


Application to ADHD

Within this framework, Trastorno por Déficit de Atención e Hiperactividad is interpreted not solely as a deficit of cognitive resources, but as a context-sensitive cognitive configuration characterized by:

Increased sensitivity to friction (F)

Narrower thresholds between cognitive states

Greater variability between high-coherence (hyperfocus) and low-coherence states

The model suggests that individuals with ADHD may achieve high levels of coherence under conditions of:

High information structure (I)

Low environmental friction (F)

This perspective aligns with neurodiversity approaches while remaining compatible with established clinical frameworks.


Implications

Education

Emphasizes structured tasks, clear goals, and immediate feedback

Reduces environmental distractions and cognitive friction

Organizational Design

Highlights the negative impact of interruptions and multitasking

Supports workflow designs that protect focus and reduce friction

Cognitive Performance

Suggests that flow can be facilitated by optimizing environmental and informational conditions rather than relying solely on motivation


Limitations

The model is conceptual and requires empirical validation

Variables (E, I, F) require further operationalization

The relationship is heuristic, not a physical law

Bioenergetic interpretations of E remain hypothetical


Research Status

The ISHEA Cognitive Coherence Model is currently under development as part of the broader ISHEA framework. Ongoing work includes:

Experimental validation of friction and information effects

Exploration of bioenergetic correlates of cognitive performance

Application across educational, organizational, and clinical domains


Summary

The ISHEA Cognitive Coherence Model proposes that cognitive performance is not determined solely by ability or effort, but by the alignment between:

Available resources

Structured information

Environmental conditions

By framing flow, attention, and cognitive breakdown within a single system, the model offers a unified perspective for understanding human cognition across contexts.

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