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Biological paradigms of molecular electronics

Abstract

Biological processors of information are shown to be paradigms of Molecular Electronics, suggesting the main features of systems for intelligent information processing at molecular level.

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References

  • Ball, P. and Garwin, L. (1992) ‘Science at the atomic scale’, Nature 335, 761–766.

    Google Scholar 

  • Barker, J.R. (1990) ‘Molecular electronic systems: models and fabrication schemes’, in A. Aviram (ed.), Molecular Electronics — Science and Technology, United Engineering Trustees, New York, 213–220.

    Google Scholar 

  • Chiabrera, A., Di Zitti, E., Costa, F., Bisio, G.M. (1989) ‘Physical limits of integration and information processing in molecular systems’, J. Phys. D: Appl. Phys. 22, 1571–1579.

    Google Scholar 

  • Chiabrera, A., Di Zitti, E., Bisio, G.M. (1991) ‘Molecular information processing and physical constraints on computation’, Chemtronics 5, 17–22.

    Google Scholar 

  • Eigler, D.M., Lutz, C.P., Rudge, W.E. (1991) ‘An atomic switch realized with the scanning tunnelling microscope’, Nature 352, 600–603.

    Google Scholar 

  • Koch, C. and Poggio, T. (1987) Biophysics of computation: neurons, synapses and membranes’, MIT Artificial Intelligence Lab. Memo No 795.

  • Lippmann, R.P. (1987) ‘An introduction to computing with neural nets’, IEEE Acoust. Speech Signal Proc. ASSP-4, 4–22.

    Google Scholar 

  • Rambidi, N.G., Zamalin, V.M., Sandler, Y.M. (1991) ‘Towards a biomolecular computer: I-Ways, means, objectives’, J. Mol. Electron. 7, 105–114.

    Google Scholar 

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Chiabrera, A., Di Zitti, E. & Ricci, D. Biological paradigms of molecular electronics. Cytotechnology 11, S77–S79 (1993). https://doi.org/10.1007/BF00746061

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  • DOI: https://doi.org/10.1007/BF00746061

Keywords

  • Information Processing
  • Molecular Level
  • Molecular Electronic
  • Intelligent Information
  • Intelligent Information Processing