Information Processing by Chemical Reaction-Diffusion Media

2011 ◽  
pp. 455-483
Author(s):  
Nicholas G. Rambidi
Keyword(s):  
Cerebral Cortex ◽  
Information Processing ◽  
Chemical Reaction ◽  
Reaction Diffusion ◽  
Neural Net ◽  
Optical Illusions ◽  
Diffusion Media

Biological roots and specific neural net architecture of reaction-diffusion media seem to enable simulating some phenomena inherent in the cerebral cortex, such as optical illusions.

scholarly journals Biomolecular nonlinear dynamic mechanisms as a foundation for human traits of information processing machine

2001 ◽  
Vol 6 (4) ◽  
pp. 263-279
Author(s):  
Nicholas G. Rambaidi
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Nonlinear Dynamic ◽  
Reaction Diffusion ◽  
Dynamic Mechanisms ◽  
Diffusion Media ◽  
Operational Information ◽  
Basic Features ◽  
Biological Entities ◽  
High Computational Complexity

A pseudo-biological paradigm in information processing launched by McCulloch and Pitts in the early 1940s has been advanced during the last decades. Different attempts were made based on these developments to design operational information processing devices capable of solving problems of high computational complexity.One of them was the use of nonlinear dynamic mechanisms inherent in information processing by biochemical, biomolecular, and simple biological entities. Chemical reaction–diffusion media proved to be effective tools for the implementation of these capabilities.Basic features of these information processing means and modeling of their information processing capabilities are discussed in this paper. Belousov–Zhabotinsky type reaction–diffusion media were used to simulate image processing operations and finding paths in a labyrinth.

SILICON IMPLEMENTATION OF A CHEMICAL REACTION–DIFFUSION PROCESSOR FOR COMPUTATION OF VORONOI DIAGRAM

2005 ◽  
Vol 15 (10) ◽  
pp. 3307-3320 ◽  
Author(s):  
TETSUYA ASAI ◽  
BEN DE LACY COSTELLO ◽  
ANDREW ADAMATZKY
Keyword(s):  
Information Processing ◽  
Computational Geometry ◽  
Voronoi Diagram ◽  
Chemical Reaction ◽  
Chemical Species ◽  
Reaction Diffusion ◽  
Concentration Profiles ◽  
Chemical Systems ◽  
Complete Problem ◽  
Np Complete

Reaction–diffusion (RD) chemical systems are known to realize sensible computation when both data and results of the computation are encoded in concentration profiles of chemical species; the computation is implemented via spreading and interaction of either diffusive or phase waves, while a silicon RD chip is an electronic analog of the chemical RD systems where the concentration profiles of chemicals are represented by voltage distributions on the chip's surface. In this paper, we present a prototype RD chip implementing a chemical RD processor for a well-known NP-complete problem of computational geometry — computation of a Voronoi diagram. We offer experimental results for fabricated RD chips and compare the accuracy of information processing in silicon analogs of RD processors and their experimental "wetware" prototypes.

scholarly journals Organising Chemical Reaction Networks in Space and Time with Microfluidics

2011 ◽  
Vol 3 (1) ◽  
pp. 35-56 ◽  
Author(s):  
Gareth Jones ◽  
Chris Lovell ◽  
Hywel Morgan ◽  
Klaus-Peter Zauner
Keyword(s):  
Information Processing ◽  
Chemical Reaction ◽  
Chemical Reaction Networks ◽  
Molecular Computing ◽  
Reaction Networks ◽  
Input Output ◽  
Space And Time ◽  
Microfluidic Technology ◽  
Underlying Substrate

Information processing is essential for any lifeform to maintain its organisation despite continuous entropic disturbance. Macromolecules provide the ubiquitous underlying substrate on which nature implements information processing and have also come into focus for technical applications. There are two distinct approaches to the use of molecules for computing. Molecules can be employed to mimic the logic switches of conventional computers or they can be used in a way that exploits the complex functionality offered by a molecular computing substrate. Prerequisite to the latter is a mapping of input-output transform provided by the substrate. This paper reviews microfluidic technology as a versatile means to achieve this, show how it can be used, and provide proven recipes for its application.

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