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 DPRG: Pain Message index sorted by: [ date ] [ thread ] [ subject ] [ author ] Previous message: DPRG: RBNO Dates Next message: DPRG: Fw: 21 JAN 97 TACART: Schall on Robot Learning Subject: DPRG: Pain From: Ron Blue rcb5 at msn.com Date: Fri Jan 9 20:41:26 CST 1998 ```>> They feel better so they quit crying. (pain gone, reflex not necessary) >>>>>>>>>>>>>>> Pain is actually very interesting and has been duplicated in the CORE processor. Consider the following: Subject: Re: Pain Inducing Patterns picture at http://cfa-www.harvard.edu/~peprbv/pain.html On Fri, 3 Nov 1995, Jagan Narayanan wrote: > Hi Guys: >I also downloaded the picture and looked at it. There is nothing unique about > it. If you change the colors from black and white to red and blue you >get the same feeling. If you do concentric circles instead of lines you >will have the same feeling. What is the big deal here?? > >>>>cut > > Shouldn't there be a control group for this experiment? Perhaps I asked 14 students if they felt pleasure while looking at the pain picture. No one reported pleasure. Two reported pain. I said each time that you are are suppose to feel pleasure. The big deal? The picture is a stationary image. Assuming that the brain processes information in oscillations and that random thermal noise is gaussian from the central limit principle - a stationary signal will be oscillated into a gaussian pattern. The following is a guess. Using the principles in Random Vibrations, Spectral & Wavelet Analysis by D.E. Newland (c) 1993, I believe the following would be true. 1. the wave patterns of white can be viewed as an ON signal that is linear correlated to vertical positions. The bandwidths are correlated, the black is an OFF signal and is correlated. The black bandwidths are correlated. The correlation is +1. Auto correlation would be 1. 2. The black/white patterns are cross correlated. The correlation is one. The frequency or harmonic of white pattern and black pattern are perfectly correlated since they were sampled and seeded with the same wave frequency used for neuroprocessing. Fourier equation and inverse fourier equations would be equal. Periodic or circular correlation functions would be 1. The spectral density would be equal. Overlapping correlational functions would be equal. Black/white, blue/yellow, red/green are opponent process. This means that when a blue stimulus had been habituated the opposite color yellow will be observed in a grey visual field. ALL FUNCTIONS ARE AT THEIR MAXIMUM VALUE resulting in the FAILURE message of the neuro system to be activated. To us this means pain. Why only one in six or seven? Why only one in ten with strong pain? A guess. I have vision problems. My perception is frequently distorted. The correlations for me can not be at their maximum. Also the frequency of oscillation generated by randomly looking at the stimulus should be gaussian. So only 1/6 would be the values at the maximum range of a gaussian distribution assuming that the brain is engaging in wavelet analysis due to opponent process is working on a six standard deviation formula. These are pure speculations. The 1/6 is similar to the reported hexagons that overlapped in some migraine auras. This mathematical pattern I believe is tell us HOW the brain process information. Assume pain is a stochastic resonance of a zero sum or flat line resultant over all band widths. For any observation data looks chaotic but it is totally deterministic. Visualize a wave machine made two sheets of flat glass, colored water, and oil on top of the water The total wave length possible is the width of the glass. The sum of all wave patterns for the oil and water is zero or a flat line. At any particular location on the wave machine (i.e. neuro activity in the pain system) the activity looks chaotic but can be causally linked to the vibrations on the wave machine. Stranglely when you move away from the oscillation location decreased activity is noticed, and increased in activity in noticed in areas that should not be related to the original location. If you backup and look at the wave machine the connect in now obvious. You are observing TWO waves. The top wave is an inversion of the bottom. The power spectral is zero for the correlational opponent process and the activation process over the bandwidth! Ron Blue ------------------------------ ``` Previous message: DPRG: RBNO Dates Next message: DPRG: Fw: 21 JAN 97 TACART: Schall on Robot Learning Message index sorted by: [ date ] [ thread ] [ subject ] [ author ] More information about the DPRG mailing list