Mind Over Machine

Electroencephalogram Brain-Computer Interfaces and the Transformation of Army Aviation

By MAJ Nickolas D. Lupo and LTC Kent B. Monas

Article published on: November 1, 2025 in the 2025 Fall Edition

Read Time: < 8 mins

For decades, the United States has preserved its position as the world’s leading military power through technological superiority. Two realities challenge our technology advantage: a persistent and growing manpower deficit and our enduring moral imperative to protect human life. The Department of War is now posturing for large-scale combat operations (LSCO), which will demand increased manpower through rapid mobilization with the anticipation of higher casualty rates. Large-scale combat operations present two major challenges. First, is a manpower deficit due to a shrinking pool of eligible, willing recruits who require extensive training on complex systems. Second, is a moral imperative to minimize battlefield losses and collateral damage. In an age where images are instantly transmitted to the global public, these challenges are amplified by strategic social media implications. Together, they underscore an urgent need for a new approach to modernization.

Electroencephalogram Brain-Computer Interfaces (EEG-BCIs) represent one of the most promising answers. By converting neural signals directly into machine commands, EEG-BCIs offer a way to expand combat power without expanding manpower, reduce risk to Soldiers while increasing lethality, and maintain American dominance in multidomain conflicts.

The Promise of EEG-BCIs

At their core, EEG-BCIs function by capturing and interpreting the brain’s electrical signals and translating them into commands that machines can execute. Electroencephalography records brain activity using noninvasive electrodes. Brain mapping then interprets unique neural patterns associated with intent, and machine learning algorithms train the system to recognize those signals with increasing accuracy. The result is a noninvasive interface that allows the human mind to control machines directly.

This is no longer theoretical. For example, Dr. Bin He, currently a Trustee Professor in the Biomedical Engineering, Electrical & Computer Engineering, Neuroscience Institute at Carnegie Mellon University, was the first to use EEG-BCI technology to fly a drone with thought alone (Chengyu & Weijie, 2019, para. 2). His lab’s work demonstrates how EEG-BCIs enable control without traditional physical or sensory-based interfaces. This contrasts sharply with older methods, which required intensive visual and auditory training to execute even basic commands. The operator accomplished drone control from a chair without moving their arms or legs, showcasing how EEG-BCIs can expand participation beyond traditional definitions of physical ability.

Electroencephalogram-BCIs show strong potential to surpass traditional controls for drone operations by enabling faster reaction times, parallel multi-drone command, and adaptive cognitive load management. Current studies demonstrate real-time EEG control within 300–500 milliseconds (ms) (Xinbiin et al., 2023, p. 15), comparable to manual inputs, with emerging artificial intelligence (AI)-assisted systems and memory resistor, or memristor, hardware projected to cut this to 200 ms or less (p. 6). Early prototypes have already directed multiple drones using mental commands, while integrated cognitive-state monitoring can detect fatigue and dynamically adjust control levels for safety and efficiency. Combining this kind of technological innovation with lessons observed in modern conflict shows clear pathways for lethal integration and widespread adoption, all without placing Soldiers directly in harm’s way.

Addressing the Army’s Core Challenges

Electroencephalogram-BCIs directly confront the most pressing manpower and moral issues facing the Army:

Manpower and Retention: The U.S. Army has struggled to meet recruitment goals, even as adversaries such as China maintain forces nearly twice as large. Traditional solutions, such as larger bonuses or expanded marketing, are insufficient. By enabling one operator to command multiple systems simultaneously, EEG-BCIs break the one-to-one ratio between Soldier and platform. This allows the Army to deliver greater combat power with fewer personnel.

Casualty Sensitivity: Modern conflict is scrutinized in real time by a public with low tolerance for losses. Electroencephalogram-BCIs enable operators to remain far from the fight while exercising control over lethal systems in-theatre. This reduces exposure, mitigates political risk, and sustains combat endurance without incurring the societal costs of high casualties.

Expanding the Talent Pool: As former Secretary of the Army Mark Esper (2022) noted, 87% of Americans ages 17–24 are ineligible for service due to physical, academic, or legal barriers. Electroencephalogram-BCIs reframe service around cognitive skills, rather than physical ones. Individuals with disabilities or those previously excluded from combat roles could serve as operators, greatly expanding the Army’s available pool of warfighters.

Ethical use of AI Systems in National Defense: Electroencephalogram-BCI has the potential to allow faster human involvement on-the-loop or in the loop for the use of lethal force in armed conflict. Electroencephalogram-BCI would enable additional ethical safeguards as outlined in the United States-endorsed Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy (Bureau of Arms Control and Nonproliferation, 2023).

Transforming Aviation With EEG-BCIs

The most profound impact of EEG-BCIs will likely be felt in Army Aviation, a domain where cost, complexity, and risk converge. Pilots require years of physical training to master coordination, reflex, and technical skills. Once trained, they must be continually sustained through flight hours and costly simulations. Electroencephalogram-BCIs alter this equation by shifting the burden from physical skill acquisition to cognitive mapping. A new operator can achieve proficiency in high-level control within months, directing autonomous aircraft from a secure location. This reduces costs and accelerates readiness.

The precedent already exists. Lockheed Martin (2022) demonstrated an autonomous Black Hawk capable of flying itself under human supervision. With EEG-BCIs, the pilot of the future could remain thousands of miles from the battlefield, issuing high-level cognitive commands while the aircraft executes autonomously. This transition eliminates the risk of losing aircrews in hostile airspace.

Moreover, EEG-BCIs allow a single operator to simultaneously control multiple aircraft. An aviator could direct one rotorcraft to conduct reconnaissance, another to deliver supplies, and a third to prosecute a target, all from a single control station. Electroencephalogram-BCIs make this feasible by removing physical interface bottlenecks. The operator’s intent directs each aircraft simultaneously, multiplying combat power without multiplying crews.

For the aviation community, this is not merely modernization, it is survival in an operational environment where adversaries field advanced anti-access and area denial (A2/AD) systems. Electroencephalogram-BCIs enable Army Aviation to decouple pilots from cockpits and project aviation power into denied areas without exposing aircrews to extreme danger.

Multidomain Operations and Future Force Design

Electroencephalogram-BCIs are not limited to aviation. Their scalability makes them an enabler for multidomain LSCO. Unlike conventional control systems, which tether one operator to one platform, EEG-BCIs allow warfighters augmented with AI to orchestrate formations of unmanned systems across land, air, sea, and cyber. A single operator could command a squadron of drones, a platoon of robotic vehicles, or mixed domain task forces, all synchronized through intent rather than physical control inputs.

This scalability calls for rethinking organizational design. The brigade combat team (BCT) of today may evolve into the “Cognitive BCT” of tomorrow; smaller, more efficient formations centered on EEG-BCI operators. Instead of battalions of Infantry, Armor, or Aviation, future brigades may deploy autonomous platforms directed by warrant officers trained in neural interface operations supported by specialized maintenance teams. The result would be leaner formations that increase lethality.

Training, Implementation, and Humans in Autonomous Drones

The success of EEG-BCIs will not hinge solely on their technical performance but on the Army’s ability to train operators quickly, implement the systems efficiently, and maintain trust through human-in-the-loop or on-the-loop engagement. Together, these three elements form the foundation of successful integration.

Traditional training pipelines, especially in aviation, require years of preparation. Producing a rated, fully mission-qualified Army Aviator can take 18–24 months or more, not including years of sustainment training. Electroencephalogram-BCIs collapse that timeline. Because the system interprets intent rather than demanding physical mastery, operators can achieve basic proficiency in weeks, expanding to multi-platform coordination within months. Machine learning accelerates this process by adapting in parallel with the operator’s neural patterns, turning training into a recursive loop of human and system improvement. This scale of repetition, thousands of iterations in simulation vs. a handful of live flight hours, fundamentally transforms readiness.

Implementation is not a wholesale replacement of platforms, but an upgrade of interfaces. Most Army systems already operate through electrical and fly-by-wire controls. Electroencephalogram-BCIs insert at this junction, requiring new software and integration frameworks rather than costly hardware replacement. This makes modernization more efficient and affordable, allowing rapid scaling across formations once the baseline software is validated.

Electroencephalogram-BCIs must not be mistaken for a step toward autonomous war without oversight. Instead, they strengthen the principle of human-in the-loop and on-the-loop warfare. Operators remain the source of tactical intent, direction, and lethal authorization, while machines execute those instructions with speed and precision. This ensures accountability, maintains trust, and aligns with the Army’s doctrine that humans, not algorithms, decide when to apply force. The result is a system that combines machine efficiency with human judgment, preserving trust while enabling unprecedented lethality.

Together, training speed, software-driven implementation, and human oversight form the backbone of EEG-BCI integration. They shorten timelines, conserve resources, and safeguard legitimacy, ensuring that this technology can transition from laboratory to battlefield at the scale required for LSCO.

Thinking Our Way Into the Future

Electroencephalogram-BCIs offer the Army a paradigm shift. They address the twin challenges of manpower deficits and upholding our moral imperatives, while expanding the talent pool of those able to serve. Most importantly, they allow the Army to sustain aviation dominance, where training costs are the highest and the risks most severe.

In multidomain LSCO operations, EEGBCIs provide scalable combat power by enabling small teams of operators to command large formations of autonomous systems. With proper investment in training, acquisition, and organizational adaptation, the Army can harness this technology to preserve its technological superiority and reimagine the battlefield for the wars of tomorrow.

Warfare has always favored those who adapt first. By embracing EEG-BCIs, the Army ensures that its future warfighters will not just fly, march, or maneuver — they will think their way to victory.