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N G Rambidi

Publications and source records attributed to N G Rambidi.

10 recordsLinked to original sources
PubMed1997

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

The information processing capabilities of biomolecular excitable media based on nonlinear dynamic mechanisms are discussed. Given even the simplest medium geometry, dynamics and information processing features inherent in biomolecular excitable media proves to be diverse and sophisticated. For the case of pseudo two-dimensional versions these media can be described in terms of neural networks having lateral connections. The main responses of shunting on-center off-surround feedback neural networks and pseudo two-dimensional excitable systems to the external excitations are surprisingly similar. The excitable media are capable of short-time memory, of contour enhancement and quenching or amplifying small features depending on medium state. The analogies discussed reaffirm specific neural net characteristics of excitable media and give the opportunity to estimate more accurate excitable medium characteristics.

Computers↗
PubMed1997

Biomolecular computer: roots and promises.

There are two basic issues inherent in contemporary molecular and biomolecular computing and urgent for its future development. They are: (i) fundamentals, that is general principles, starting points and correlation's between different approaches to design biomolecular information processing devices, (ii) working criteria, that is goals and principles for the choice of the device designing characteristics to achieve these goals. These issues are common to all major approaches of contemporary biomolecular computing. Increasing behavioral complexity of an information processing device seems to be a criterion for designing biomolecular means capable of solving problems of high computational complexity.

Computers↗
PubMed1995

Practical approach to implementation of neural nets at the molecular level.

Potentialities for implementing simple neural net information processing devices based on chemical and biochemical dynamic media are discussed. This approach gives an opportunity to construct efficient systems capable of performing some primitive operations important for imaging processing.

Image Processing, Computer-Assisted↗
PubMed1994

Molecular neural network devices based on non-linear dynamic media.

The importance of non-linear dynamic mechanisms for implementing neural network devices at a molecular level is discussed. Information processing devices based on these mechanisms proved to be capable of performing some primitive operations important for image processing.

Algorithms↗
PubMed1994

Biomolecular computing: from the brain-machine disanalogy to the brain-machine analogy.

The analogy between the main information features of the brain and molecular non-discrete information processing devices based on non-linear dynamic mechanisms is considered. These information processing mechanisms predetermine the character of basic primitive operations of these devices, which seem to be capable of solving problems of a rather high computational complexity. Non-linear dynamic processing mechanisms open the way to elaboration of devices embodying, in a natural way, the fuzziness of information features that is typical of information processing inherent in soft 'humanistic' systems.

Brain↗
PubMed1993

Non-discrete biomolecular computing: an approach to computational complexity.

General principles of information processing at the molecular level inherent in simple biological and biomolecular entities can be used to elaborate essentially new non-discrete information-processing devices. These principles are: giant parallelism of information processing; processing mechanisms based on complicated non-linear dynamics; high efficiency of information transformations; considerable behavioral complexity of computational (pseudoelementary) primitives; and the possibility of variation and evolution of the molecular components of information-processing devices, including the possibility of evolutionary learning. Problems of high computational complexity are currently of great practical importance. Non-discrete biomolecular information-processing devices seem to be able to solve effectively some classes of problems of high computational complexity.

Biomedical Engineering↗
PubMed1992

Towards a biomolecular computer.

A new version of computing and information processing devices may result from major principles of information processing at molecular level. Non-discrete biomolecular computers based on these principles seems to be capable of solving problems of high computational complexity. One of the possible ways to implement these devices is based on biochemical non-linear dynamical systems. Means and ways to materialize biomolecular computers are discussed.

Biomedical Engineering↗