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Great discoveries solve problems in different, scientific fields.
Aristoteles

Discovery of Interference Networks


Note

The circuits shown here as interference networks are not electrical networks, but rather nervous networks with extremely low conduction velocities! All lines are delay lines. The electrical node abstraction of a line is not valid here. Time is required to overcome any distance!

Early Discoveries

The 1943 McCulloch/Pitts paper likely became the birthplace of digital circuit technology, (digital) algorithms, all programming languages, and, unfortunately, also of artificial neural networks (ANNs). Delay times in nerves were replaced by states and clocks. Delays in neural pathways were replaced by electrical node abstraction-with devastating consequences for the nascent research into neural networks.
It was not until 1993 that Mark Konishi recalled Jeffress's 1948 paper. Here are the most important findings in chronological order.

Discovering the Nerve System

How to understand cortical, holomorphic projections? Simulations of interference nets in nerve like parametrisation show well known phaenomena: mirrored maps, bursts, conjunction, zooming, movement, pain overflow or dermal projections (somatotopy). We simulate the homunculus and we find ideas for imagination and holomorphy. Is it coincidence or providence?
Is there an approach to understand our holographically organized nervous system? The first simulations of interference networks in nervous parameterization show well-known phenomena: reflective maps, holographic properties, pulse series (bursts) as codes, image fusion, image zoom, image movement, pain overflow or skin projections (somatotopy). We simulate the homunculus and find ideas for visual imagination.

Wave Field Simulations

Interference Network Properties

Measurements in vivo

Acoustic Photo- and Cinematography

After interference networks (IN) were born, initial experiments in 1994 showed that we were unable to obtain high-channel, non-invasive spiking data from the nervous system. So we looked for a new idea. For this purpose, an 8-channel EEG data recorder was converted to microphones.
The "Bio-Interface" software promptly delivered the first acoustic (still) image (1994). Only then did we notice that hundreds of acoustic institutes worldwide were researching acoustic imaging.
Far from the mainstream of acoustic research, this crazy idea was intended to demonstrate in 1994 how interference networks could reconstruct images (with inverse time / with non-causal, negative delays).
Have you ever dreamed of one of your pages getting into the first 250 hits of the most popular search engine? The predecessor of this site had it before the turn of the millennium: when searching for "acoustic camera". No wonder: There wasn't another one back then.

Historical Hardware and Software

Related Links

Source

* First acoustic line scan of a moving object was published by Brühl, S. and Schmitz, K.-P.: Noise Source Localization on Highspeed Trains (Transrapid) using Different Array Types. Internoise, Leuven, Belgium, August 24-26, 1993.


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File created sept. 30, 1995
Permanent revision / redesign. Sorry for the german english.
Page URL: http://www.gheinz.de/historic/index.htm
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