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Associative Latching Dynamics vs. Syntax

  • Eleonora RussoEmail author
  • Sahar Pirmoradian
  • Alessandro Treves
Conference paper

Abstract

We model the cortical dynamics underlying a free association between two memories. Computationally, this process may be realized as the spontaneous retrieval of a second memory after the recall of the first one by an external cue, what we call a latching transition. As a global cortical model, we study an associative memory Potts network with adaptive threshold, showing latching transitions. With many correlated stored patterns this unstable dynamics can proceed indefinitely, producing a sequence of spontaneously retrieved patterns. This paper describes the informational properties of latching sequences expressed by the Potts network, and compares them with those of the sentences comprising the corpus of a simple artificial language we are developing, BLISS. Potts network dynamics, unlike BLISS sentences, appear to have the memory properties of a second-order Markov chain.

Keywords

Memory Attractor dynamics Information Artificial language 

References

  1. 1.
    Marr, D.: A theory for cerebral neocortex. Proc. R. Soc. Lon B. 176 (1971) 161–234.CrossRefGoogle Scholar
  2. 2.
    Braitenberg, V., Schüz, A.: Anatomy of the Cortex. Berlin: Springer-Verlag (1991).Google Scholar
  3. 3.
    Hopfield, J.: Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. U S A. 79 (1982) 2554–2558.CrossRefPubMedGoogle Scholar
  4. 4.
    Sompolinsky, H., Kanter, I.: Temporal association in asymmetric neural networks. Phys. Rev. Lett. 57 (1986) 2861–2864.CrossRefPubMedGoogle Scholar
  5. 5.
    Tsuda, I., Körner, E., Shimizu, H.: Memory dynamics in asynchronous neural networks. Prog. Theor. Phys. 78 (1987) 51–71.CrossRefGoogle Scholar
  6. 6.
    Tsuda, I.: Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems. Behav. Brain Sci. 24 (2001) 793–847.CrossRefPubMedGoogle Scholar
  7. 7.
    Herrmann, M., Ruppin, E., Usher, M.: A neural model of the dynamic activation of memory Biol. Cybern. 68 (1993) 455–463.CrossRefGoogle Scholar
  8. 8.
    Treves, A.: Frontal latching networks: a possible neural basis for infinite recursion. Cogn. Neuropsychol. 21 (2005) 276–291.CrossRefGoogle Scholar
  9. 9.
    Russo, E., Namboodiri, V.M.K., Treves, A., Kropff, E.: Free association transitions in models of cortical latching dynamics. New J. Phys. 10 (2008) 015008.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Eleonora Russo
    • 1
    Email author
  • Sahar Pirmoradian
    • 1
  • Alessandro Treves
    • 1
  1. 1.SISSA Cognitive NeuroscienceTriesteItaly

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