Increasing the Biological Inspiration of Neural Networks

  • Francesco E. Lauria
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2486)


Starting from a nerve cell functional characterization, we define formally the autonomous learning to concatenate sequences and prove it to be a possible solution for the problem that faces the, eg vertebrate, nervous systems: ie, to choose and to store, without outside help, the instructions to compute the actual sensor/effector correspondences they have to control. In our formal system we assign the initial connection matrix elements so that the rules, namely the Caianiello relation iterated application, autonomously and deterministically control the meta-rule, namely the Hebbian rule, application.


Autonomus learning Concatenate sequences Caianiello model Hebbian rule 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Caianiello, E. R.: Outline of a theory of thought processes and thinking machines. J. of Theor. Biol, Vol. 2 (1961) 204–235.CrossRefMathSciNetGoogle Scholar
  2. 2.
    Hebb, D. O.: The organization of behavior. J. Wiley & Sons, New York, (1966) 335 + xix.Google Scholar
  3. 3.
    Hassoun, Mohamad H.: Fundamentals of artificial neural networks. MIT Press, Cambridge (Mass.) USA (1995) 511 + xxvi.zbMATHGoogle Scholar
  4. 4.
    Lauria, F. E., M. Sette, S. Visco: Adaptable Boolean neural networks. Fridericiana Scientia, Liguori, Napoli, (1997) 212, ISBN 88-207-2676-9
  5. 5.
    Lauria, F. E., R. Prevete: An algebraic approach to the autonomously self-adaptable Boolean neural nets. Acc. Sc. Fis. e Mat., Napoli, (2001), 299 + xi. ISBN 88-207-3266-1.
  6. 6.
    de A. Barreto, G., Araujo, A.F. R.: Storage and recall of complex temporal sequences through a contextually guided self-organizing neural network. IJCNN2000 Como, Italy (EU). Amari, S-I, Giles, C.L., Gori, M., Piuri, V. eds.: Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE Computer Soc. (Los Alamitos, CA, USA) Vol. 3 (2000) 207–212. ISBN: 0-7695-0619-4.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Francesco E. Lauria
    • 1
  1. 1.Dipartimento di Scienze FisicheUniversit gravea di Napoli Federico II & INFM Complesso Universitario di Monte Sant’AngeloNapoliItaly (EU)

Personalised recommendations