Towards a biomolecular computer. Information processing capabilities of biomolecular nonlinear dynamic media

Rambidi, N. G.; Maximychev, Alexander V.

doi:10.1016/s0303-2647(96)01678-4

Cited by 32 publications

(19 citation statements)

References 23 publications

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“…A thin layer of BZ reaction medium [187], sensitized to light by means of a ruthenium complex as catalyst, is capable of performing elementary image processing steps such as contour enhancement and contrast inversion [184,182,188], and can be used for path planning [189]. The application of BZ medium in a thin unstrirred layer contained in a Petri dish allows for parallel optical input by projecting a light pattern on the surface of the reaction medium.…”

Section: Excitable Chemical Mediamentioning

confidence: 99%

Molecular Information Technology

Zauner

2005

Critical Reviews in Solid State and Materials Sciences

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ABSTRACT:Molecular materials are endowed with unique properties of unrivaled potential for high density integration of computing systems. Present applications of molecules range from organic semiconductor materials for low-cost circuits to genetically modified proteins for commercial imaging equipment. To fully realize the potential of molecules in computation, information processing concepts that relinquish narrow prescriptive control over elementary structures and functions are needed, and self-organizing architectures have to be developed. Investigations into qualitatively new concepts of information processing are underway in the areas of reaction-diffusion computing, self-assembly computing, and conformation-based computing. Molecular computing is best considered not as competitor for conventional computing, but as an opportunity for new applications. Microrobotics and bioimmersive computing are among the domains likely to benefit from advances in molecular computing. Progress will depend on both novel computing concepts and innovations in materials. This article reviews current directions in the use of bulk and single molecules for information processing. KEY WORDS:polymer electronics, molecular switches, self-assembly computing, conformation-based computation, self-organizing materials, bioimmersive computing

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Section: Excitable Chemical Mediamentioning

confidence: 99%

Molecular Information Technology

Zauner

2005

Critical Reviews in Solid State and Materials Sciences

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“…Detailed consideration of the information-processing capabilities of reaction±diusion media 2 shows that for the case of pseudo-two-dimensional versions these media can be described in terms of neural networks with lateral connections. The main responses of shunting on-centre o-surround feedback neural networks and reaction±diusion active systems proved to be surprisingly similar.…”

Section: Spatial Resolution Of Belousov±zhabotinsky Systems and Scalimentioning

confidence: 99%

Information-processing capabilities of chemical reaction-diffusion systems. 1. Belousov-Zhabotinsky media in hydrogel matrices and on solid supports

Rambidi¹,

Kuular²,

Махаева³

1998

Adv. Mater. Opt. Electron.

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“…[11][12][13][14] Biocomputing is an extensively studied field, and important work inspiring this particular project are given in refs 12,15-28. The first set of refs, refs 12,15-20, deal with macroscopic-sized networks of reaction compartments connected by tubes wherein chemicals are channeled by pumps.…”

Section: Introductionmentioning

confidence: 99%

Tunable Filtering of Chemical Signals in a Simple Nanoscale Reaction-Diffusion Network

2007

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We study numerically the filtering capabilities of a nanoscale network of two micrometer-sized containers joined by a nanotube, one of which hosts an enzymatic chemical reaction. Spatiotemporal chemical signals of substrate molecules are injected into the network. The substrate propagates by diffusion and reacts with enzymes distributed in the network prior to the injections. The dimensions of the network are tailored in a way that the transport and enzymatic reaction rates are comparable in size, a situation in which the overall behavior is highly influenced by the geometry and topology of the network. This property is crucial for the functionality of the filter developed in here. It is demonstrated that input signals can be classified in a crude way using a simple setup (a two-container network) and that the classification can be tuned by changing the geometry of the network (the length of the tube connecting the two containers). The filter device we investigate can also be viewed as a primitive chemistry-based computational element in the sense that the information encoded in the signals is processed using chemical reactions. In particular, it is demonstrated that the two-container device may filter out signals based on the average injection frequency.

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Towards a biomolecular computer. Information processing capabilities of biomolecular nonlinear dynamic media

Cited by 32 publications

References 23 publications

Molecular Information Technology

Molecular Information Technology

Information-processing capabilities of chemical reaction-diffusion systems. 1. Belousov-Zhabotinsky media in hydrogel matrices and on solid supports

Tunable Filtering of Chemical Signals in a Simple Nanoscale Reaction-Diffusion Network

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