Mind control was once reserved only for the farthest corners of conspiracy research. No more. The establishment has re-named mind control as neuroscience, and it is receiving massive funding through initiatives such as Obama’s BRAIN project.
It is a comprehensive plan to map the human brain for purposes of determining how degenerative conditions arise, how thoughts are formed, and how behavior can be reverse engineered to the source of its gestation. Once determined, scientists intend to intervene and control the mind through a variety of methods, both direct and indirect.
The Brain Research through Advancing Innovative Neurotechnologies(BRAIN) Working Group has now issued its “Interim Report” in a search for continued funding through 2014. It is appropriately titled, as we have arrived at a critical juncture where the arrival of full-fledged, broad-scale direct mind control could become part of our future. Or, the vast complexities of the human brain could be revealed as an insurmountable task to decode, regardless of the amount of funding or wishful thinking of transhumanists and technocrats alike.
There certainly have been a plethora of advertised advancements released in the scientific community indicating that the brain can be altered in very significant ways. So far, the animal research is out in the open, but every announcement is freely coupled with the plan to apply these findings to humans once legal and ethical concerns are overcome. Now might be the time where the public is being conditioned to see the totality of what is being suggested as not only inevitable, but desirable.
First it is important to refer to the very latest that has been revealed by would-be mind control scientists. The following chronology covers a span of just more than two months. These articles clearly show that the theoretical has become quite practical, and it’s ramping up:
July 11, 2013: New Video Game Helps Map Your Every Thought
July 29, 2013: Secret DARPA Mind Control Project Revealed: Leaked Document
August 8, 2013: Hardware and Software Combining to Replicate the Human Brain
August 10, 2013: The DNA Nanobots Have Arrived
August 21, 2013: DARPA Issues Request For Information to Create a Computer Brain
August 24, 2013: DARPA Wants Portable Brain Recorders “In Every Classroom in America”
August 28, 2013: Remote Controlled Humans Via Internet Now a Reality
August 29, 2013: Mind Control and Narrative Psy-Ops
September 13, 2013: Mind Control Scientists Find New Keys to Unlock Memory
With these developments as background information from our own reports of where we stand, let’s have a look at what the BRAIN project has issued as their 9 core research priorities to be funded in 2014.
There is a bit of technical language used here, but pay particular attention to the recurring assertion of theoretical applications in humans, as well as the repeated language about circuit manipulation.
That “circuit” is the wiring of your brain and, they hope, your thoughts and behavior.
#1. Generate a Census of Cell Types. It is within reach to characterize all cell types in the nervous system, and to develop tools to record, mark, and manipulate these precisely defined neurons in vivo. We envision an integrated, systematic census of neuronal and glial cell types, and new genetic and non‐genetic tools to deliver genes, proteins, and chemicals to cells of interest. Priority should be given to methods that can be applied to many animal species and even to humans.
#2. Create Structural Maps of the Brain. It is increasingly possible to map connected neurons in local circuits and distributed brain systems, enabling an understanding of the relationship between neuronal structure and function. We envision improved technologies—faster, less expensive, scalable—for anatomic reconstruction of neural circuits at all scales,such as molecular markers for synapses, trans‐synaptic tracers for identifying circuit inputs and outputs, and electron microscopy for detailed reconstruction. The effort would begin in animal models, but some mapping techniques may be applied to the human brain, providing for the first time cellular‐level information complementary to the Human Connectome Project.
#3. Develop New Large‐Scale Network Recording Capabilities.We should seize the challenge of recording dynamic neuronal activity from complete neural networks, overlong periods, in all areas of the brain. There are promising opportunities both for improving existing technologies and for developing entirely new technologies for neuronal recording, including methods based on electrodes, optics, molecular genetics, and nanoscience, and encompassing different facets of brain activity, in animals and in some cases in humans.
#4. Develop A Suite of Tools for Circuit Manipulation. By directly activating and inhibiting populations of neurons, neuroscience is progressing from observation to causation, and much more is possible. To enable the immense potential of circuit manipulation, a new generation of tools for optogenetics, pharmacogenetics, and biochemical and electromagnetic modulation should be developed for use in animals and eventually in human patients. Emphasis should be placed on achieving modulation of circuits in patterns that mimic natural activity.
#5. Link Neuronal Activity to Behavior. The clever use of virtual reality, machine learning, and miniaturized recording devices has the potential to dramatically increase our understanding of how neuronal activity underlies cognition and behavior. This path can be enabled by developing technologies to quantify and interpret animal behavior, at high temporal and spatial resolution, reliably, objectively, over long periods of time, under a broad set of conditions, and in combination with concurrent measurement and manipulation of neuronal activity.
#6. Integrate Theory, Modeling, Statistics, and Computation with Experimentation. Rigorous theory, modeling and statistics are advancing our understanding of complex, nonlinear brain functions where human intuition fails. New kinds of data are accruing at increasing rates, mandating new methods of data analysis and interpretation. To enable progress in theory and data analysis, we must foster collaborations between experimentalists and scientists from statistics, physics, mathematics, engineering and computer science.
#7. Delineate Mechanisms Underlying Human Imaging Technologies. We must improve spatial resolution and/or temporal sampling of human brain imaging techniques, and develop a better understanding of cellular mechanisms underlying commonly measured human brain signals(fMRI, Diffusion Weighted Imaging (DWI), EEG, MEG, PET)—for example, by linking fMRI signals to cellular‐resolution population activity of neurons and glia contained within the imaged voxel, or by linking DWI connectivity information to axonal anatomy.Understanding these links will permit more effective use of clinical tools for manipulating circuit activity, such as deep brain stimulation and transcranial magnetic stimulation.
#8. Create Mechanisms to Enable Collection of Human Data. Humans who are undergoing diagnostic brain monitoring or receiving neurotechnology for clinical applications provide an extraordinary opportunity for scientific research. This setting enables research on human brain function, the mechanisms of human brain disorders, the effect of therapy, and the value of diagnostics. Meeting this opportunity requires closely integrated research teams including clinicians, engineers, and scientists, all performing according to the highest ethical standards of clinical care and research (as if this is somehow routine within these fields?? – N.W.). New mechanisms are needed to maximize the collection of this priceless information and ensure that it benefits people with brain disorders.
#9. Disseminate Knowledge and Training. Progress would be dramatically accelerated by the rapid dissemination of skills across the community. To enable the broadest possible impact of newly developed methods, and the rigorous application, support should be provided for training—for example, summer courses and course modules in computational neuroscience, statistics, imaging, electrophysiology, and optogenetics—and for educating non‐neuroscientists in neuroscience. (Source and full report)
The recent breakthroughs alluded to previously, and this suggestive interim report, barely scratch the surface as the pace increases toward the dizzying. Add in a type of “living” transistor that uses DNA merged with graphene, plus the advent of quantum computing applied to advancements in robotics and artificial intelligence, and the architecture of the genuine matrix is being designed before our very eyes … and quickly.
As the BRAIN project figuratively pauses for their interim report, it would be wise for us to seriously pause and reflect about the potential implications of these experiments. For those who have genuine concerns about the potential for abuse, as well as runaway consequences similar to what we have seen with GMO and Big Pharma in general, it is time to use any method possible to communicate that this research must be put forth in the public domain for full scrutiny and review, with proper limitations codified.
Already, as with all things science and tech related, DARPA – the military research arm of the U.S. government – has their tentacles all over this research. But, this time, even with their intent to control and use this technology with historically less than peaceful intentions, nanotech has the means to move beyond anyone’s control. The merging of the biological brain and a nearly infinite computational overlay is indeed the final frontier and must gain our full attention while we still have any wits left of our own.
What are your thoughts? Is it inevitable that science will decode the human brain so completely that we will be at the mercy of mad scientists to play us like a version of The Sims? Or is humanity in fact greater than the sum of its parts; non-quantifiable and forever as free and boundless as it wishes to be?