Abstract

CIFT-EXEC is an applied protocol derived from a field-theoretic formulation of cortical dynamics. It models attention, learning, and performance as regime-dependent processes shaped by contextual admittance (χ), stochastic fluctuation (η), and control parameters governing stability (λ). The protocol operationalizes these variables into a structured set of interventions aimed at stabilizing near-critical cortical regimes. This page provides a conceptual overview and links to the full formal manuscript.

Core Framework

What is CIFT?

Cortical Informational Field Theory is a field-theoretic framework for modeling cognition, consciousness, and near-critical cortical dynamics.

This page is the public introduction to the CIFT research program and provides a readable route into the formal manuscripts.

Overview

The brain as a dynamic field

CIFT models large-scale cortical activity as a continuous informational field Φ(x,t). Rather than reducing cognition to isolated neural units, it describes how global cognitive states emerge from the interaction between diffusion, control parameters, nonlinear saturation, contextual admittance, and stochastic fluctuations.

This field-level view is designed to connect theoretical neuroscience, statistical physics, information theory, and empirical signals such as EEG and fMRI.

Formal Core

The CIFT equation

∂tΦ = Deff∇²Φ + λΦ − βΦ³ + χΦ + η

λ control

Represents effective excitation-inhibition and regime control.

χ admittance

Represents contextual coupling between environment and cortical dynamics.

η noise

Represents stochastic fluctuation and instability pressure.

Research Program

What CIFT tries to explain

Consciousness

How integrated and differentiated cortical field states may support conscious access.

ADHD / RC³

How near-critical regime instability can formalize neurodivergent variability.

Learning

How adaptive environments can stabilize cognition and accelerate skill acquisition.

Start Here

Explore the CIFT research pages

These pages translate the formal papers into searchable, readable summaries that connect back to the open science archive.

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