itu-t jules verne’s corner 2010 “make possible the impossible”

Julio Verne’s corner, Pune, India, 14 December 2010

ITU-T Jules Verne’s Corner 2010“Make Possible the Impossible”

Mitsuji MatsumotoWaseda University

[email protected]

The travel for Telepathy communication

(B to B communication)

Julio Verne’s corner, Pune, India, 14 December 2010

IntroductionEV using IWM was invented by F. Porsche around 1900.Wireless power supply using Magnetic Resonance and wireless power transmission technology were born around 1900. New innovative idea do not result simply. The current exciting technologies are based on the old idea. In general, in order for technologies to become popular, long time will be necessary. Sometimes the main technologies depend on the accomplishment of the peripheral technologies and well-appointed technical environment. This mean that we should look at the old idea or technologies againWhen we consider the future, we should find the seeds or eggs of technologies.

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Julio Verne’s corner, Pune, India, 14 December 2010 3

How to get Information from Brain

At present Brain activities is measured by functional Magnetic Resonance Imaging (fMRI) or Near Infrared

Spectroscopy (NIRS) However can brain scans show

whether people are telling the truth? (by Mark Harris) This represents the location of brain activity. (Cerebral blood flow, etc.)This is not suitable for mechanism

for Telepathy communication. 　


Information expression in the brain

What to measure is the activity of neurons and it’s neural networks.The main component for neural networks are

essence fluid brain, glial cells and neurons.

Brodmann's Cerebral cortex areas

Neuron CellSynapse

Synapse

Dendrite

Carlson(1998)


Fundamental Structure for Neuron

When Neuron get Input signal through Synapse, the electrical potential change to 0 or + and becomes Spike (1ms) and transfered to the next Neurons. (SAP?)

Number of Neuron cell:1xNumber of Synapse/Neuron:Total Number of connection:1xSpan of Synapse :several 10μm

111043 1010

1510Synapse

Input

Output

Spike

Glutamate

Negative Neuron

Positive Neuron

Look at the Information Expression of Brain by Sakurai, 2008

Carlson(1998)

Neuron has a Large memory. So the Neuron Network looks like Ultra Large Scale LSI.Neuron NW is manifold for Combination of Neurons and Collaboration between them

1510


How to sence the information

Functional Neuron Group for Specific Information Expression Hypothesis of “Cell-Assembly” by O.B Hebb (1949)(1)overlapping between Neurons

(2) Functional combination Dynamics


How to detect the information

BMI/BCI

Electrocorticogram

Yodchanan Wongsawat;”Trends on Brain-Computer Interface (BCI) in Communications”, ITU Thailand

Neuronal Ensemble Activity

Electrocorticogram

Electroencephalogram


Brain Sensing/Imaging Technologies: Why EEG?

MRI – only anatomical data

CT – only anatomical dataECoG – highly invasive surgerySPECT – radiation exposurePET – radiation exposureMEG – extremely expensivefMRI – extremely expensivefNIR – currently expensive, still in infancyEEG – safe, easy, no medical expertise


EEG Recording

National Geographic, March 2005

NY Times Magazine, October 16, 2005


Microsoft ”Ž®

3.0

Rhythms of EEG

EEG appeared 300 ms after rare event


How to sense the expression information from the brain

How to get the spike signals from the brain (1) Extracellular Recording (2) Intracellular Recording

Screw

Enlargement

Stainless tube OD=200μm, ID=100μm

Tungsten wire BD=15μm・20μmTime ms

Sp

ike so

rting

ms

Sakurai 2008

Cranium

stick


How to detect the information signal

Problem 1: Spike Overlap issue Two adjacent spikes becomes active simultaneously or different spike were occurrence

Problem 2: each Neuron has different characteristics. Problem 3: Neurons are not always stable. Changing within short time

Adjacent Neuron separation


Microsoft ”Ž®

3.0

Intracortical Recording Using Microelectrodes


Microsoft ”Ž®

3.0

Signal Processing

Time Domain- P300- SCP- MRP- Spike Detection

Frequency Domain- Band Power- Synchronization

Spatial Domain- Automatic Electrode Selection- Laplacian Filter- Common Spatial Pattern (CSP)

- Independent Component Analysis (ICA)


Conclusion

Microsoft ”Ž®

3.0

Telepathy communication service/system will need further study. However, BMI/BCI will be advanced hereafter 50 years. The solution will apply to Accessibility for persons with disable. Standardization of Telepathy communication are for further study Application


We are jumping into 4 dimensional web from 3 dimensional networkCan you give us 2D Transmission instead of 1D transmission today

Can realize 2D or 3D Transmission system?Ex. Can Endoscope like Kintaro-Ame

Stick-Candy: Kintarou-Ame in Japan

Endoscopeoffer 1D signal

itu-t jules verne’s corner 2010 “make possible the impossible”

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