Skip to main content

Neurocybernetics, codes and computation

  • 1 Synthesis Tasks
  • Conference paper
  • First Online:
Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

Abstract

Some fifty years back, a synergetic process took place which was to produce ever greater emphasis on the multi-disciplinary approach to science, relating to communication, coding, control and computation in human beings and machines. We attempt here to give a brief overview of the past evolution and future trends for some of the original concepts, mostly those pertaining to sensory coding, logical nets and neural computation to varying degrees of complexity. It is an attempt to make us all relive the excitement and the extraordinary force of the subjects together with the realms of inspiration still to be discovered in the work of the pioneers. It is also a modest contribution towards the commemoration of the Centenary of McCulloch's birth and the fiftieth anniversary of Wiener's book Cybernetics (1948)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Selected References

  • Lettvin, J.Y.; Maturana, H.R.; McCulloch, W.S.; Pitts, W.H. (1959): What the frog's eye tells the frog's brain. Proc IRE 27, pp 400–415.

    Google Scholar 

  • McCulloch, W.S. and Pitts, W.H. (1943): “A logical Calculus of the Ideas Immanent in Nervous Activity”. Bull. Math. Biophysics, 5, pp 115–133.

    Google Scholar 

  • McCulloch, W.S. (1959): “Agatha Tyche: of Nervous Nets The Lucky Reckoners”. Mechanization of Thounght Processes: Proceedings of a Symposium Held at the National Physical Laboratory, November, 24–27, 1958, n°10 Vol II, London, Her Majesty's Stationery Office, pp 611–634.

    Google Scholar 

  • McCulloch, W.S. and Moreno-Díaz, R. (1967): “On a Calculus for Triadas”, in “Neural Networks”, Caianiello, ed. Springer-Verlag Berlin, Heidelberg. New York, pp 78–86.

    Google Scholar 

  • McCulloch, W.S. (1969): “Regenerative Loop”. The Journal of Nervous and Mental Disease, 149, pp 54–58.

    Google Scholar 

  • Mira Mira, J. (1971): “Modelos Cibernéticos de Aprendizaje”. Tesis Doctoral. Facultad de Ciencias de la Universidad de Madrid.

    Google Scholar 

  • Mira Mira, J.; Delgado, A. (1983): “On cooperative languages for survival and nerual decision making”. Proc. Int. Symp. on Man in High Tech Env. Namur. pp 569–581.

    Google Scholar 

  • Mira Mira, J.; Moreno-Díaz, R. (1984): “Un marco teórico para interpretar la función neuronal a altos niveles”. In Biocibernética. Moreno-Díaz, R.; Mira Mira, J. eds. Siglo XXI. Madrid, pp 149–171.

    Google Scholar 

  • Mira, J.; Sandoval eds., (1995): “From Natural to Artificial Neural Computation”. Lecture Notes in Computer Science, vol 930. Springer-Verlag, Berlin Heidelberg.

    Google Scholar 

  • Mira, J.; Moreno-Díaz, R.; Cabestany, J. eds. (1997): “Biological and Artificial Computation: From Neuroscience to Technology. Springer Verlag. Berlin. Lecture Notes in Computer Science no. 1240.

    Google Scholar 

  • Moreno-Diaz, R. and McCulloch, W.S. (1968): “Circularities in Nets and the Concept of Functional Matrices” in L. Proctor, ed. “Biocybernetics of the C.N.S.” pp 145–150. Little and Brown. Massachusetts.

    Google Scholar 

  • Moreno-Díaz, R. (1971): “Deterministic and Probabilistic Neural Nets with Loops”. Mathematical Biosciences 11, pp 129–136.

    Google Scholar 

  • Moreno-Díaz, R.; Hernández Guarch, F. (1983): “On the biological formal counterparts of logical machines”. Kybernetes, 12, pp 183–185.

    Google Scholar 

  • Moreno-Díaz, R., (1995): “De los orígenes y evolución de la teoría de redes neuronales” en Computatión Neuronal: S. Barro; J. Mira, eds. Cap. V. Servicio de Publicaciones e Intercambio Científico. Universidad de Santiago de Compostela.

    Google Scholar 

  • Moreno-Díaz, R.; Mira-Mira, eds. (1995): Brain Processes, Theories and Models. The MIT Press. Cambridge MASS. USA.

    Google Scholar 

  • Neumann, J. von (1956): “Probabilistic Logics and the Synthesis of Reliable organisms form Unreliable Components”, in “Automata Studies”, Shannon and McCarthy, eds. Princenton University Press, Princenton, New Jersey.

    Google Scholar 

  • Rosemblueth, A.; Wiener, N.; Bigelow, J. (1943): “Behaviour, Purpose and Teleology” Phylosophy of Science. Vol 10.

    Google Scholar 

  • Rubio Royo, F. (1969): "Modelos del proceso visual en la retina de los vertebrados. Simulación en ordenador”. Tesis Doctoral. Universidad de Madrid.

    Google Scholar 

  • Sutro, L. (1966): “Sensory Decision and Control Systems”. Instrumentation Laboratory R-548. MIT, Cambridge, MA.

    Google Scholar 

  • Wiener, N. (1948): Cybernetics. The Technology Press. John Wiley and Sons, Inc. New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Angel Pasqual del Pobil José Mira Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Moreno Díaz, R. (1998). Neurocybernetics, codes and computation. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_386

Download citation

  • DOI: https://doi.org/10.1007/3-540-64574-8_386

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics