References
- Barsi F., Maestrini P. Error correcting properties of redundant residue number systems. IEEE Transactions on Computers 1973; C-22: 307–315
- Barsi F., Maestrini P. Error detection and correction by product codes in residue number systems. IEEE Transactions on Computers 1974; C-23: 915–924
- Barsi F., Maestrini P. A class of multiple-error-correcting arithmetic residue codes. Information and Control 1978; 36: 28–41, a
- Barsi F., Maestrini P. Arithmetic codes in residue number systems with magnitude index. IEEE Transactions of Computers 1978; C-27: 1185–1188, b
- Barsi F., Maestrini P. Error codes constructed in residue number systems with non-pairwise-prime moduli. Information and Control 1980; 46: 16–25
- Breasted J. H. The Edwin Smith surgical papyrus. University of Chicago Press, Chicago 1930
- Dickson L. E. History of the theory of numbers. Chelsea, New York 1952; 2
- Fuhrmann Gy. Modelling the visual cortex with “modulo system” concept. Biological Cybernetics 1981; 40: 39–48
- Fuhrmann Gy. A recognizing neural network: modulo system, for extracting and syntactically processing of the important properties of patterns. Progress in cybernetics and systems research, R. Trappl, G. Pask, L. M. Ricciardi. Hemisphere, Washington 1982; 9: 305–311, Reprinted in R. K. Ragade (Ed.) General systems, Volume. 27, pp. 147–153. Louisville: Society for General Systems Research, 1983
- Fuhrmann Gy. Syntax as the model of semantics in brain modelling. Cvbernetica 1984; 27: 39–56
- Fuhrmann Gy. Arithmetic codes resembling neural encoding, In preparation
- Garner H. L. The residue number system. IRE Transactions on Electronic Computers 1959; EC-8: 140–147
- Iversen L. L. Amino acids and peptides: fast and slow chemical signals in the nervous system?. Proceedings of the Royal Society of London, B. 1984; 221: 245–260
- Koch C., Poggio T., Torre V. Nonlinear interaction in a dendritic tree: localization, timing and the role in information processing. Proceedings of the National Academy of Science, USA. 1983; 80: 2799–2802
- Lee E. T., Zadeh L. A. Note on fuzzy languages. Information Science 1969; 1: 421–434
- Mandelbaum D. Error correction in residue arithmetic. IEEE Transactions on Computers 1972; C-21: 538–545
- Mandelbaum D. On a class of arithmetic codes and a decoding algorithm. IEEE Transactions on Information Theory 1976; IT-22: 85–88, a
- Mandelbaum D. On a class of nonlinear arithmetic codes that are easy to decode. Information and Control 1976; 30: 151–168, b
- Maurer H. A., Salomaa A., Wood D. Pure grammers. Information and Control 1980; 44: 47–72
- Mountcastle V. B. An organizing principle for cerebral functions: the unit module and the distributed system. The neurosciences: fourth study program, F. O. Schmitt, F. G. Worden. MIT Press, Cambridge 1979; 21–42
- von Neumann J. The general and logical theory of automata. Cerebral mechanisms in behavior, L. A. Jeffress. Wiley, New York 1951; 1–41
- Neumannvon J. Probabilistic logic and the synthesis of reliable organism from unreliable components. Automata studies, C. E. Shannon, J. McCarthy. Princeton University Press, Princeton 1956; 43–98
- Niven I., Zuckerman H. S. An introduction to the theory of numbers. (3rd Ed.). Wiley, New York 1972
- Ore O. The General Chinese Reminder Theorem. American Mathematical Monthly 1952; 59: 365–370
- Szabó N., Tanaka R. Residue arithmetic and its application to computer technology. McGraw-Hill, New York 1967
- Szentágothai J. The “module-concept” in cerebral cortex architecture. Brain Research 1975; 95: 475–496
- Szentágothai J. The neuron network of cerebral cortex: a functional interpretation. Proceedings of the Royal Society, of London B. 1978; 201: 219–248
- Yau S. S., Liu Y. Error correction in redundant residue number systems. IEEE Transactions of Computers 1973; C-22: 5–11
- Zeki S. The mapping of visual functions in the cerebral cortex. Brain mechanisms of sensation, Y. Katsuki, R. Norgen, M. Sato. Wiley, New York 1981; 105–128