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This Defense Intelligence Reference Document was produced by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications program and dated 23 March 2010. It surveys noninvasive and invasive brain-machine interface technologies, including EEG, MEG, fMRI, NIRS and implanted electrode arrays, that could control external devices without limb-operated interfaces. It concludes that noninvasive electrical monitoring is the most promising near-term approach. For the long term it favors invasive single-neuron cortical connections.
From the source:Release of 2026-09-18 Incident: 3/23/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD surveys brain-machine interface technologies intended to allow users to control external devices without conventional manual controls, and it evaluates both noninvasive and invasive approaches for turning neural or related physiological signals into usable commands. The report reviews the underlying neural signals, distinguishes between open- and closed-loop control systems, and examines technologies including scalp-based electrical recording, magnetic and imaging-based methods, and implanted cortical interfaces, with particular attention to bandwidth, response time, signal quality, and practical usability. It concludes that, in the near term, the most practical systems are likely to be noninvasive electrical approaches that draw heavily on muscle and neural signals, while longer-term high-bandwidth control would likely require more advanced invasive interfaces capable of robust two-way communication with individual neurons. The document presents thought-based control of external devices as a research field with plausible assistive and specialized applications, while emphasizing that naturalistic, high-performance control remained constrained by major technical and physiological limits.
I I , UNCLASSIFIED/ /P91t 9FFl@IAL YSIE 8HLY Lamp1 y bramstem AmplifiersVldoog A c=:;)> Recording ,'I • . , I , I , I Spike de ecttt>n rreq --rt11and low-pass pulse fill r ge ' omoor .,_crualC!fs Add itional stud ies utilizing neurological signals generated from the lamprey have been equally promising in eliciti ng cognitive responses that translate a controlled response into a machine's activity. In a similar experiment, Deliag ina, and coworkers (Reference 30) used the activity of reticulospinal neurons recorded from a swimming lamprey to Figure 12. A Hybrid Neuro-Robotic System. Signals from the optical sensors of a Khepera (K-team) mobile robot (bottom) are encoded by the interface into electrical stimulations, the frequency of which depends linearly on the light intensity. These stimuli are delivered by tungsten microelectrodes to the right and left vestibular pathways of a la mprey brainstem (top) that is immersed in artificial cerebrospinal fluid within a recording chamber. The electrical stimuli are delivered to the axons of the intermediate and posterior octavomotor nucle i (nOMI and nOMP, respectively). Glass microelectrodes record extracellular responses to the stimuli from the posterior rhombencepha lic neurons (PRRN). Recorded signa ls from right and left PRRN are decoded by the interface. First, the electric artifacts generated by the stimulation im pulses are removed. Then, population spikes are detected. The resu lting spike train is passed through a low-pass filter, which ca lculates an average firing rate over a 300-millisecond fi ring window. The average firing rate detected from each electrode is translated into a command to the corresponding wheel of the robot. The angu lar velocity of the whee l is set to be proportiona l to this average rate. Figure 13. Experimental Arrangements. (A) : arrangement for simultaneo us recordings of neuronal activity, electromyograms (EMGs), and movements in the freely behaving animal. Electrophysiological recordings and the video record ings were synchronized by pulses (1 Hz) recorded simultaneously by both systems (Synchro). (B) : arrangement for recording vestibular responses fn RS neurons du ri ng swimming . Central, denervated region of the body was fixed in the experimental device. Lamprey could perform locomotor-l ike undulatory movements by its anterior and posterior body parts (indicated by arrows). Device could be rotated manually (a, roll ti lt angle) . UNCLASSIFIED/ /F8R. 8FFI&iIAk Uili QNL¥ Variable ncy rator ___________ 21
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Official release, from the pursue collection. The PDF is mirrored here; the original link is above. 36 pages are in the text index: search them above, or from the library's search.