Bibliography
198 5 - 2005
1. Н.Г.Рамбиди, В.М.Замалин, Молекулярная микроэлектроника: истоки и надежды, Москва, Знание (физика), 1985
2. N . G . Rambidi , V . M . Zamalin , Yu . M . Sandler , Molecular information processing devices and artificial intelligence problem , J . Mol . Electron ., v .4, 839-848, 1988.
3. N.G.Rambidi, D.S.Chernavskii, Yu.M.Sandler, Towards a biomolecular computer, 1.Ways, means, objectives, J. Mol. Electron., v.7, 105-114, 1991.
4. N.G.Rambidi, D.S.Chernavskii, Towards a biomolecular computer. 2. Information processing and computing devices based on biochemical non-linear dynamic systems, J. Mol. Electron., v.7, 115-125, 1991.
5. O.V.Gritsenko, D.I.Sidelnikov, A.P.Simonova, D.S.Chernavskii, N.G.Rambidi, Towards a biomolecular computer. 3. Information processing features of the distributed biochemical systems functioning in the mode of dissipative structure formation, J. Mol. Electron., v.7, 155-166, 1991.
6. D.I.Sidelnikov, O.V.Gritsenko, A.P.Simonova, A.A.Polezhaev, D.S.Chernavskii, N.G.Rambidi, Nonlinear dynamics of the distributed biochemical systems functioning in the dissipative structure mode, Biol. Cybern., v.68, 53-62, 1992.
7. N.G.Rambidi, Towards a biomolecular computer. BioSystems, v.27, 219-122, 1992.
8. Н.Г.Рамбиди, А.В.Максимычев, В.А.Никаноров, А.В.Усатов, Перспективы создания нейрокомпьютеров на молекулярных системах, Нейрокомпьютер,№ 1, 62-70, 1992.
9. N.G.Rambidi, A.V.Maximychev, A.V.Usatov, Nonlinear dynamics in a nondiscrete molecular systems for neural pattern recognition devices, Optical Memory and Neural Networks, v.1, 177-187, 1992.
10. Н.Г.Рамбиди, Д.С.Чернавский, В.И.Кринский, В.М.Николаенко, О.В.Гриценко, Д.И.Сидельников, А.П.Симонова, Недискретные биомолекулярные информационно-логические устройства: физические принципыи возможные пути построения, Итоги науки и техники, Физические и математические модели нейронных сетей, т.5, ВИНИТИ, МОСКВА, 1992.
11. N.G.Rambidi, An approach to computational complexity, Nondiscrete biomolecular computing, Computer, v.25, 51-54, 1992.
12. N.G.Rambidi, D.S.Chernavskii, V.I.Krinsky, Information processing and computing devices based on biomolecular non-linear dynamic systems, Molecular electronics and molecular electronic devices, K.Sienicky, Ed., CRC Press, 1992, pp. 85-153.
13. N.G.Rambidi, Non-discrete biomolecular computing: an approach to computational complexity, BioSystems, v.31, 3-13, 1993.
14. N.G.Rambidi, A.V.Maximychev, A.V.Usatov, Molecular image processing devices based on chemical reaction systems. 1. General principles for implementation, Advanced Materials for Optics and Electronics, v.4, 179-190, 1994.
15. N.G.Rambidi, A.V.Maximychev, A.V.Usatov, Molecular image processing devices based on chemical reaction systems. 2. Implementation of Blum-type algorithms, Advanced Materials for Optics and Electronics, v.4, 191-201, 1994.
16. N.G.Rambidi, A.V.Maximychev, Implementation of image processing operations using light-sensitive chemical dynamic media, Proceedings SPIE, v.2430, 90-99, 1994.
17. N.G.Rambidi, A.V. Maximychev, Molecular image processing devices based on Chemical Reaction Systems. 3. Some operational characteristics of excitable light-sensitive media used for image processing, Advanced Materials for Optics and Electronics, v.5, 223-231, 1995.
18. N.G.Rambidi, A.V. Maximychev, Molecular image processing devices based on Chemical Reaction Systems. 4. Image-processing operations performed by active media functioning in oscillation mode, Advanced Materials for Optics and Electronics, v.5, 233-241, 1995.
19. N.G.Rambidi, A.V. Maximychev, A.V. Usatov, Implementation of image processing operations using light-sensitive chemical dynamic media, Optical Memory and Neural Networks, v.4, 99-109, 1995.
20. N.G.Rambidi, A.V. Maximychev, Neural networks based on biomolecular nonlinear dynamic media. Image processing operations, Optical Memory and Neural Networks, v.5, 129-143, 1996.
21. N.G.Rambidi, A.V. Maximychev, Molecular image processing devices based on chemical reaction systems. 5. Processing images with several levels of brightness and some application potentialities, Advanced Materials for Optics and Electronics, v.7, 161-170, 1997.
22. N.G.Rambidi, A.V. Maximychev, Molecular image processing devices based on Chemical Reaction Systems. 6. Processing half-tone images and neural network architecture of excitable media, Advanced Materials for Optics and Electronics, v.7, 171-182, 1997.
23 . N.G.Rambidi, A.V. Maximychev, Optical neural networks based on nonlinear dynamic media: state of art and some potentialities, Proceedings of SPIE, v.3402, 434-440, 1998.
24. N.G.Rambidi, T.O.-O. Kuular, E.E. Machaeva, Information processing capabilities of chemical reaction-diffusion systems. 1. Belousov-Zhabotinsky media in hydrogel matrices and on solid supports, Advanced Materials for Optics and Electronics, v.8, 163-171, 1998.
25. N.G.Rambidi, D. Yakovenchuk, Information processing capabilities of chemical reaction-diffusion systems. 2. Finding paths in a labyrinth based on reaction-diffusion media, Advanced Materials for Optics and Electronics, v.9, 27-34, 1999.
26. N.G.Rambidi, Biomolecular nonlinear dynamic mechanisms as a foundation for human traits of information processing machine, Discrete Dynamics in Nature and Society, v.6, 263-279, 2001.
27. N.G.Rambidi, D.Yakovenchuk, Chemical reaction-diffusion implementation of finding the shortest paths in a labyrinth, Phys. Rev. E, v.63, 026607, 2001.
28. N.Rambidi, Roots and promises of chemical-based computing, BioSystems, v.64, 169-178,2002.
29. N.G.Rambidi, K.E.Shamayaev, G.Yu.Peshkov, Information processing using light-sensitive chemical waves, Phys. Lett. A, v.298, 375-382, 2002.
30. Н.Г.Рамбиди, Перспективы развития нейросетевых парадигм на основе молекулярных объектов, Микросистемная техника, №3, 31-32, 2002.
31. Н.Г.Рамбиди, Возможные пути эффективного воплощения нейросетевых устройств. Квазибиологическая парадигма, Микросистемная техника, №4, 21-30, 2002.
32. Н.Г.Рамбиди, Распределенные реакционно-диффузионные среды: техника формирования и вычислительные возможности, Микросистемная техника, №8, 32-38, 2002.
33. Н.Г.Рамбиди, Е.П.Гребенников, А.И.Адамацкий, А.Г.Девятков, Д.В.Яковенчук, Биомолекулярные нейросетевые устройства, Москва, ИПРЖР, 2002
34. N.G.Rambidi, Chemical based computing and problems of high computational complexity: the reaction-diffusion paradigm, in: Molecular computing, , Sienko Tanya, Adamatzky Andrew, Rambidi Nicholas G., Conrad Michael, Eds., The MIT Press, Cambridge Massachusetts, London, England, 2003.
35. N.G.Rambidi, Lure of molecular electronics – from molecular switches to distributed molecular information processing media, Microelectronic Engineering, v.69, 485-500, 2003.
36. Н.Г.Рамбиди, С.Г.Уляхин, Д.Е.Шишлов, В.А.Неганов, А.С.Цветков, Молекулярные нейросетевые устройства: обработка изображений химическими реакционно-диффузионными средами, Нейрокомпьютеры – разработка , применение, №1-2, 40-55, 2005.
37. N.G.Rambidi, Biologically inspired information processing technologies: reaction-diffusion paradigm, International Journal of Unconventional Computing, v.1, 101-121, 2005.
38. N.G.Rambidi, S.G.Ulyakhin, A.S.Tsvetkov. Several remarks on practical implementation of image processing by chemical reaction-diffusion media, Workshop on Unconventional Computing, ECAL2005, September 2005, pp.59-69