The Brain-computer interfaces (BCIs) have existed in some form and like other innovations, they will continue to develop. Those with the recent breakthrough (the likes of Dr. Rezai), have helped those who could not perform normal functions due to stroke and other disabling factors, through BCIs.

While a great service to humanity, the quest to create superhumans will create issue and further inequities. (1) Grant funds may be channelled on research and development but the beneficiaries will be rich and elites (who may survive without extra brain powers anyway). (2) If realized, like wealth inequality ( richest 10% of people own 85% of the world 's total wealth), the brain-power inequality will widen the divide between haves and have-nots.

This comes very close to the scientific topic of the forensic simulator and will have practical effects on criminology and penology.

We are in the beginning of the Brain-computer interfaces (BCIs). So the efforts of scientists may lead to final and complete version of this kind of projects for improving the life of the human.

Very interesting discussion

But if this brain is empty? Can computer also write?

Vadim S. Gorshkov

Political leaders will be exempted from these devices by government decree; voters will be advised to use the devices until the election day to assure a stable government; no bias, please.

Stephen I. Ternyik

Brains are really not needed for voting. But why should politicians restricted so much? It is very useful device (if the interface is really RW).

As European Parliament elections are close, we will have to discuss the future relationship between window scaling and consulting contracts as transparency measure. Thank you: Vadim S. Gorshkov

Let me cite verse by O. Tarutin (translation is my):

...

I saw as the subject blush,

rubbed his bald spot.

It was obvious that it was unbearable for him

stand so with his naked thoughts -

with his treasure

which leaking into the distance ...

...

And the professor, pampered with success,

suddenly nodded to me from the stage: "Wishing?"

I conceived in response to him something restrained,

and the scientist fell behind, as he understand.

...

The brain is a tool to perform very complex tasks with tremendous speed and accuracy, now faster and more accurate than the most powerful PC ever built (and likely to be built in the foreseeable future). UCL researchers suggested that the brain to perform it well to cope with high noise levels, it must use a strategy called code rate. In the modulation code, neurons look at the activity of a group of many neurons, ignoring the individual fluctuation, or noise, of each.

Following answers

A device that can read people’s minds by detecting their brainwaves has been developed in a breakthrough that could eventually enable people with “locked-in syndrome” to communicate.

Follow discussion.

Good invention

I think, it will be very difficult task.

till now, we don't know how the brain work !

Of course, there nothing is impossible for scientific research, but i think it will be difficult and if there is success, it will be with very slow steps.

Computer could read human's behavioral patterns, not human's mind. The machine cannot understand humans' high-dimensional psychological world such as sublimation, transcendentalization, and spiritualization.

This comes very close to the scientific topic of the forensic simulator and will have practical effects on criminology and penology.

I think no device can access what kind of knowledge is going on in the human brain. The device cannot predict or read the human ideas .

I think no device can access what kind of knowledge is going on in the human brain.

Very stimulating question

Following

YES @ Nirmala

I agree with medical uses and here is what is called the "indicated and approved usage of biotechnology". I t is recommended beyond doubt, but a little slip in the opposite side can cost us humanity.

Anyway thanks for sharing your valuable thoughts

Regards

I don't think that computers or any man-made devices can read ideas or intentions of the brains.

Sellers, E. W., Vaughan, T. M., & Wolpaw, J. R. (2010). A brain-computer interface for long-term independent home use. Amyotrophic lateral sclerosis, 11(5), 449-455.

" Our objective was to develop and validate a new brain-computer interface (BCI) system suitable for long-term independent home use by people with severe motor disabilities. The BCI was used by a 51-year-old male with ALS who could no longer use conventional assistive devices. Caregivers learned to place the electrode cap, add electrode gel, and turn on the BCI. After calibration, the system allowed the user to communicate via EEG. Re-calibration was performed remotely (via the internet), and BCI accuracy assessed in periodic tests. Reports of BCI usefulness by the user and the family were also recorded. Results showed that BCI accuracy remained at 83% (r = −.07, n.s.) for over 2.5 years (1.4% expected by chance). The BCI user and his family state that the BCI had restored his independence in social interactions and at work. He uses the BCI to run his NIH-funded research laboratory and to communicate via e-mail with family, friends, and colleagues. In addition to this first user, several other similarly disabled people are now using the BCI in their daily lives. In conclusion, long-term independent home use of this BCI system is practical for severely disabled people, and can contribute significantly to quality of life and productivity".

Ang, K. K., Chua, K. S. G., Phua, K. S., Wang, C., Chin, Z. Y., Kuah, C. W. K., ... & Guan, C. (2015). A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke. Clinical EEG and neuroscience, 46(4), 310-320.

" Electroencephalography (EEG)–based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of an EEG-based MI BCI system coupled with MIT-Manus shoulder-elbow robotic feedback (BCI-Manus) for subjects with chronic stroke with upper-limb hemiparesis. In this single-blind, randomized trial, 26 hemiplegic subjects (Fugl-Meyer Assessment of Motor Recovery After Stroke [FMMA] score, 4-40; 16 men; mean age, 51.4 years; mean stroke duration, 297.4 days), prescreened with the ability to use the MI BCI, were randomly allocated to BCI-Manus or Manus therapy, lasting 18 hours over 4 weeks. Efficacy was measured using upper-extremity FMMA scores at weeks 0, 2, 4 and 12. ElEG data from subjects allocated to BCI-Manus were quantified using the revised brain symmetry index (rBSI) and analyzed for correlation with the improvements in FMMA score. Eleven and 15 subjects underwent BCI-Manus and Manus therapy, respectively. One subject in the Manus group dropped out. Mean total FMMA scores at weeks 0, 2, 4, and 12 weeks improved for both groups: 26.3 ± 10.3, 27.4 ± 12.0, 30.8 ± 13.8, and 31.5 ± 13.5 for BCI-Manus and 26.6 ± 18.9, 29.9 ± 20.6, 32.9 ± 21.4, and 33.9 ± 20.2 for Manus, with no intergroup differences (P = .51). More subjects attained further gains in FMMA scores at week 12 from BCI-Manus (7 of 11 [63.6%]) than Manus (5 of 14 [35.7%]). A negative correlation was found between the rBSI and FMMA score improvement (P = .044). BCI-Manus therapy was well tolerated and not associated with adverse events. In conclusion, BCI-Manus therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis. Motor gains were comparable to those attained with intensive robotic therapy (1,040 repetitions/session) despite reduced arm exercise repetitions using EEG-based MI-triggered robotic feedback (136 repetitions/session). The correlation of rBSI with motor improvements suggests that the rBSI can be used as a prognostic measure for BCI-based stroke rehabilitation".

Allison, B. Z., Wolpaw, E. W., & Wolpaw, J. R. (2007). Brain–computer interface systems: progress and prospects. Expert review of medical devices, 4(4), 463-474.

Huggins, J. E., Wren, P. A., & Gruis, K. L. (2011). What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis, 12(5), 318-324.