M.I.N.D.

Verify.Train.Explore.

Verify.

Verify your mind´s capabilitys in a new innovative way.

Train.

Train your mental focus through repeated exercising.

Explore.

Explore boundaries of human conciousness for yourself.

What is M.I.N.D.

The M.I.N.D. (Mind Influence Notification Device) is a high-resolution sensor based on electrochemical impedance spectroscopy. This very sensitive device represents a tool for empirical research of the human mind and consciousness.​

Functionality

The main objective of M.I.N.D. exercises is to interact distantly with a physical object by means of your mind. This device serves as a measurement sensor with numerical and statistical analysis of results.

Who can use this ?

Everybody can exercise one´s mind. Therefore people like sportsman, entrepreneurs or Buddhist monks involve various types of mind training in their daily routines. The M.I.N.D. technology uses a high-tech approach for providing real-world feedback that significantly improves this training. ​

Judge for yourself

We encourage everybody to verify and to test own capabilities by systematic training. We provide the technology and methodology as much transparent, scientific and modern as possible.

How to use it

User manual in four steps

Set up

Fill up the water, connect to a remote PC/laptop, start measurements and leave in a separate closed and dark room for 12-24 hours. The system is ready at any time for experiments over the next few weeks. As an alternative or for demonstration purposes, use multiple pre-installed systems, running at different host locations on the internet.

Concentrate

Test and training sessions are similar to meditation. Concentrate your attention on the real-time graphic or water containers and undertake a mental effort to change the dynamics of one water container. The other is used as a control container. Try for example Reiki, meditation or any other approach. Repeat at least 10-15 sessions before making any conclusions.

Evaluate

Each session lasts 30 minutes. The system automatically processes the data and displays it on a graph in real time. The M.I.N.D. value shows how much the dynamics during the session differs from the dynamics before the session. Every 30 minutes, it is recorded in a table of results. The result is significant if it is over the average level of the last 24 hours and at least 3 times larger than the dynamics before the session.

Statistics

The system calculates the probability of obtaining such a result randomly. The higher is the M.I.N.D. value and the lower is its "random" probability, the better is the final result. Note that several positive sessions in a row have a very low "random" probability - such a result is almost impossible to obtain in the form of random events.

The details

What is inside ?

Measurement computer

The ARM-based processor with digital and analog periphery uses a real-time operating system. The device has multiple embedded sensors and records environmental conditions during experiments. It has a USB data interface (WLAN, Ethernet connectivity is possible via external device server) and is fully autonomous for weeks of measurements.

Electrodes

Water represents the main sensor element. The ionic dynamics of fluids reflects different quantum and molecular processes that, among others, involve macroscopic entanglement in physical and biological systems. Electrodes allow measuring the ionic dynamics through an electric current and include high-resolution temperature sensors and optical excitation in visible and infrared ranges.

Thermostabilizing container

The measured signals have a weak and ultra-weak character. Therefore, the measurement system should be protected from environmental influences, in particular, from fluctuations of temperature. The neopor container with gel aggregates provides an acceptable level of thermal variations and is used for passive thermostabilization of the system.

Data analysis

The involved M.I.N.D. phenomena, as currently proposed in scientific publications, are based on macroscopic entanglement in biological systems. They have a strong probabilistic character. The analysis involves several different approaches: analysis of electrochemical noise, nonlinear regression analysis, and statistical evaluations. In particular, the system calculates the probability of obtaining results due to a random occurrence. Only statistically significant results are provided to users.

Publications

All the publications of the background work are listed here.

Scientific Papers

on the topic of macroscopic entanglement in physical and biological systems, and in the brain


Vedral, Quantifying entanglement in macroscopic systems. Nature, 453:1004-7, 2008

F. Ockeloen-Korppi et al. Stabilized entanglement of massive mechanical oscillators, Nature, 556: 478–482, 2018

C. Lee et al. Entangling macroscopic diamonds at room temperature. Science, 334, 6060:1253-1256, 2011

M. Wang et al. Macroscopic quantum entanglement in modulated optomechanics. Phys Rev A, 94:053807, 2016

Sperling, I.A.Walmsley. Entanglement in macroscopic systems. Phys Rev A (2017); 95: 062116, 2017

A. Palomaki et al. Entangling mechanical motion with microwave fields. Science 342: 710–713, 2013

Shi et al. Generation of photonic entanglement in green fluorescent proteins. In Nature Communications 2017; 8: 1934, 2017

Koch, K.Hepp, Quantum mechanics in the brain. Nature 440: 611, 2006

Marletto et al. Entanglement between living bacteria and quantized light witnessed by rabi splitting. J. of Physics Communications, 2(10): 101001, 2018

Shi et al. Photon Entanglement Through Brain Tissue, Scientific Reports, 6: 37714, 2016

Yan et al. Structure and property changes in certain materials influenced by the external Qi of Qigong. Mat. Res. Innovat. 2:349–359, 1999

Our publications

scientific publications and technical application notes from the development process


Application Note 26. Methodology and protocols of feedback-based EIS experiments in real time

Application Note 24. Analysis of electrochemical noise for detection of non-chemical treatment of fluids

Application Note 18. Online system for automatic detection of remote interactions based on the CYBRES MU EIS impedance spectrometer

Application Note 20. Increasing accuracy of repeated EIS measurements for detecting weak emissions

S.Kernbach, Distant Monitoring of Entangled Macro-Objects, NeuroQuantology, 17(3), 19-42, 2019

S.Kernbach, V.Zamsha, Y.Kravchenko, Experimental Approach Towards Long-Range Interactions from 1.6 to 13798 km Distances in Bio-Hybrid Systems, NeuroQuantology, 14(3), pp.456 -476, 2016

S. Kernbach. Tests of the circular Poynting vector emitter in static E/H fields, IJUS, Issue E2, pages 23-40, 2018

S. Kernbach. Replication experiment on distant influence on biological organisms conducted in 1986, IJUS, Issue E2, pages 41-46, 2018

S.Kernbach, I.Kuksin, O.Kernbach, A.Kernbach, The Vernadsky scale — on metrology of EIS in time-frequency domain, IJUS, 15–16(5), pp.143–150, 2017

S.Kernbach, O.Kernbach,Reliable detection of weak emissions by the EIS approach, IJUS, E1, pp.90-103, 2017

S.Kernbach, I.Kuksin, O.Kernbach, On Accurate Differential Measurements with Electrochemical Impedance Spectroscopy, WATER, 8, 136-155, 2017   (version from arxiv.org, 1607.07292, 2016)

S.Kernbach, Replication Attempt: Measuring Water Conductivity with Polarized Electrodes, J. of Scientific Exploration, Vol. 27, No. 1, pp. 69–105, 2013