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AAWSAP DIRD, Technological Approaches to Controlling External Devices, March 2010

U.S. Department of War · 2010-03-23 · 36 pages · text from the file's own layer

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.

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The results of statistical analysis are
shown in Figure 11 comparing the T2
values obtained in the implanted
hemisphere versus those in the
contralateral (unimplanted) hemisphere.
There was no significant difference in T2
values between the two hemispheres.
These results prove the feasibility of
fMRI neural tracking and the use of
microelectrode arrays. With these
findings the use of microelectrical
implants and fMRI will become a vital
instrument in understanding neural
activity in invasive BMI. With the
growing use of chronic microelectric
implants for neurophysiological mapping
studies, future studies will be able to
explore a new realm of possibilities in
BM! applications.
Figure 11. T2 Value Analysis Summary of T2 Values
in All the Image Slices That Spanned the Electrode
Arrays in All Animals. There was no significant
difference between the implanted and contralateral control
hemispheres in the susceptibility-free reg ions proximal to
electrodes. p-values (one-sided student t-test assuming
equal variance): day0 : 0.2, day7 : 0.7, day14 : 0.4, day28 :
0 .8, day42: 0.4 . Combining all imaging sessions for all
animals : p=0.
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0 0 7 1 28 42
nme Posl-lmplant(Days)
HYBRID NEURO-ROBOTIC SYSTEMS FOR TRUE CLOSED-LOOP BMI
While many innovations have been seen in BMI technologies that detect neural
stimulation from direct cortical regions of monkeys and rats, another approach has
been pursued through the use of lamprey eels. Chordates, like the lamprey are idea lly
suited for neurological studies because of their distinct and readily accessible hollow
dorsal nerve cord or brain stem. In the realm of neuroscience the brain stem is often
regarded as the most primitive region of the human brain. In one study, Mussa-Ivaldi
et al. (References 28, 29) investigated the possibility of using the feedback from a BMI
for inducing controlled plastic changes at specific synapses. Figure 12 shows the
bidirectional connections between a mobile robotic device and a lamprey brain stem
that has been used to investigate the repertoire of operations carried out by neurons in
the reticular formation. Signals generated by the two optical sensors of the robot were
translated into electrica l stimuli and applied to the vestibular pathways, and to two
populations of reticular neurons. The resulting discharge frequency of the reticular
neurons commanded the right and left wheels of the robot. In this simple arrangement,
the reticular neurons acted as a processing element that determined the closed-loop
response of the neuro-robotic system to a source of light. These studies revealed that:
• Different behaviors can be generated with different electrode locations.
• The input-output relationship of the reticular synapses is well approximated by
simple linear models with a recurrent dynamic component.
• The prolonged suppression of one input channel leads to altered responsiveness
long after it has been restored in the variable frequency pulse generator.
The results of this lamprey study hints that cerebellar connections in mamma ls could
provide excellent plastic interface points for full closed loop technologies .
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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.