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

The travel for Telepathy communication (B to B communication). ITU-T Jules Verne’s Corner 2010 “Make Possible the Impossible”. Mitsuji Matsumoto Waseda University mmatsumoto@waseda.jp. Introduction. EV using IWM was invented by F. Porsche around 1900.

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

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  1. The travel for Telepathy communication (B to B communication) ITU-T Jules Verne’s Corner 2010“Make Possible the Impossible” Mitsuji Matsumoto Waseda University mmatsumoto@waseda.jp

  2. Introduction EV 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 again When we consider the future, we should find the seeds or eggs of technologies.

  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.

  4. 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. Synapse Neuron Cell Synapse Dendrite Brodmann's Cerebral cortex areas Carlson(1998)

  5. Fundamental Structure for Neuron Look at the Information Expression of Brain by Sakurai, 2008 Negative Neuron Number of Neuron cell:1x Number of Synapse/Neuron: Total Number of connection:1x Span of Synapse :several 10μm Synapse Input Output 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?) Glutamate Positive Neuron Spike 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 Carlson(1998)

  6. How to sence the information • Functional Neuron Group for Specific Information Expression Hypothesis of “Cell-Assembly” by O.B Hebb (1949) • overlapping between Neurons • (2) Functional combination Dynamics

  7. How to detect the information BMI/BCI Electroencephalogram Electrocorticogram Electrocorticogram Neuronal Ensemble Activity Yodchanan Wongsawat;”Trends on Brain-Computer Interface (BCI) in Communications”, ITU Thailand

  8. Brain Sensing/Imaging Technologies: Why EEG? MRI – only anatomical data CT – only anatomical data ECoG – highly invasive surgery SPECT – radiation exposure PET – radiation exposure MEG – extremely expensive fMRI – extremely expensive fNIR – currently expensive, still in infancy EEG – safe, easy, no medical expertise

  9. EEG Recording National Geographic, March 2005 NY Times Magazine, October 16, 2005

  10. Rhythms of EEG EEG appeared 300 ms after rare event

  11. 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 Cranium Enlargement stick Stainless tube OD=200μm, ID=100μm Spike sorting ms Tungsten wire BD=15μm・20μm Sakurai 2008 Time ms

  12. How to detect the information signal Problem 1: Spike Overlap issue Two adjacent spikes becomes active simultaneously or different spike were occurrence Adjacent Neuron separation Problem 2: each Neuron has different characteristics. Problem 3: Neurons are not always stable. Changing within short time

  13. Intracortical Recording Using Microelectrodes

  14. 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)

  15. Conclusion • 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

  16. Can realize 2D or 3D Transmission system? Ex. Can Endoscope like Kintaro-Ame We are jumping into 4 dimensional web from 3 dimensional network Can you give us 2D Transmission instead of 1D transmission today Endoscope offer 1D signal Stick-Candy: Kintarou-Ame in Japan 16

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