The Memory Activation Method
The MA Method is a novel framework that connects the rich, subjective world of the mind to measurable brain activity. By translating specific mental states and processes into precise brain signal signatures, the MA Method enhances research and development in CNS biomarkers, AGI, knowledge representation, NLP, and neurorobotics. Our primary current focus is Brain-Computer Interfaces (BCI), where the method improves the design, training, calibration, and real-world performance of systems for controlling neuroprosthetics, computer cursors, VR environments, and mobile devices.
At its core, the MA Method rests on a detailed cognitive ontology — a structured “parts list” of the mind — together with a dynamic model of how mental activity unfolds across space and time within neural networks. The model incorporates both internal mental states and key external influences, including bodily signals, environmental context, social situations, and recent life events. This systems-level approach captures far more of the mind’s information content than traditional brain science typically addresses.
Conscious and unconscious processes such as perception, recognition, meaning, thought, imagination, emotion, motivation, goals, attention, intention, prediction and learning are all represented with greater specificity. The model also extends to “higher self” dimensions — including intuition, creativity, wisdom, authenticity, compassion, and inspiration. While conventional cognitive neuroscience terms (e.g., executive function, perceptual processing, reward) describe only a small fraction of mental life, the MA Method makes the remaining majority definable, mappable, and usable for practical neurotechnology applications.
My Story
Seventeen years ago, I began investigating human consciousness and its connection to the brain. Core questions drove the work: What exactly is the mind? How does it map to brain activity?
With a strong interest in both science and philosophy, and an intuition that the problem was solvable, I started reading extensively despite limited initial neuroscience knowledge. I began with David Hubel’s Eye and Brain and progressed through key works in neuroscience, cognitive neuroscience, phenomenology, and related fields. Gradually, by building on existing research, the Memory Activation (MA) Model began to take shape.
Early attempts to share this novel paradigm with brain scientists were largely unsuccessful, which is common with new scientific frameworks that challenge established thinking. Over time, I shifted toward a more practical, applied approach. I explored neuromarketing, bio-inspired AI and robotics, and CNS biomarkers before focusing on Brain-Computer Interfaces (BCI) and neuroprosthetics — areas where the model’s real-world value could be clearly demonstrated.