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Bidirectional Completion of Cell Assemblies in The Cortex

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Computational Neuroscience

Abstract

Reciprocal pathways are presumedly the dominant wiring organization for cortico-cortical long range projections5. This paper examines the hypothesis that synaptic modification and activation flow in a reciprocal cortico-cortical pathway correspond to learning and retrieval in a bidirectional associative memory (BAM): Unidirectional activation flow may provide the fast estimation of stored information, whereas bidirectional activation flow might establish an improved recall mode. The idea is tested in a network of binary neurons where pairs of sparse memory patterns have been stored in bidirectional synapses by fast Hebbian learning (Willshaw model). We assume that cortical long-range connections shall be efficiently used, i.e., in many different hetero- associative projections corresponding in technical terms to a high memory load. While the straight-forward BAM extension of the Willshaw model does not improve the performance at high memory load, a new bidirectional recall method (CB-retrieval) is proposed accessing patterns with highly improved fault tolerance and also allowing segmentation of ambiguous input. The improved performance is demonstrated in simulations. The consequences and predictions of such a cortico-cortical pathway model are discussed. A brief outline of the relations between a theory of modular BAM operation and common ideas about cell assemblies is given.

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References

  1. D. A. Amit. The Hebbian paradigm reintegrated: Local reverberations as internal representations. Behavioural and Brain Sciences, 18: 617–657, 1995.

    Article  Google Scholar 

  2. A. Bibbig and T. Wennekers. Hippocamal two-stage learning and memory consolidation. In Proceedings of the 13th European Meeting on Cybernetics and Systems Research, 1996.

    Google Scholar 

  3. V. Braitenberg and A. Schiiz. The anatomy of the cortex. Statistics and Geometry. Springer, Berlin Heidelberg New York, 1991.

    Google Scholar 

  4. M. Caesar, D. A. Brown, B. H. Gahwiler, and T. Knopfel. Characterization of a calcium-dependent current generating a slow afterdepolarization of CA3 pyramidal cells in rat hippocampal slice cultures. European Journal of Neuroscience, 5: 560–569, 1993.

    Article  Google Scholar 

  5. D. J. Felleman and D. C. Van Essen. Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, 1: 1–47, 1991.

    Article  PubMed  CAS  Google Scholar 

  6. B. Gustafsson and H. Wigström. Physiological mechanisms underlying long-term potentiation. Trends Neurosci., 11: 156–162, 1988.

    Article  PubMed  CAS  Google Scholar 

  7. D. O. Hebb. The Organization of Behaviour. Wiley, New York, 1949.

    Google Scholar 

  8. J.J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, USA, 79, 1982.

    Google Scholar 

  9. O. Jensen and J. E. Lisman. Novel lists 7±2 known items can be reliable stored in an oscillatory short-term memory network: Interaction with long-term memory. Learning & Memory, 3: 257–263, 1996.

    Article  CAS  Google Scholar 

  10. B. Kosko. Adaptive bidirectional associative memories. Applied Optics, 26(23): 4947–4971, 1987.

    Article  PubMed  CAS  Google Scholar 

  11. C.-S. Leung, L.-W. Chan, and E. Lai. Stability, capacity and statistical dynamics of second-order bidirectional associative memory. IEEE Trans. Syst, Man Cybern., 25(10): 1414–1424, 1995.

    Article  Google Scholar 

  12. A. Schiiz. Patchiness as a means to get a message across. Trends in Neuroscience, 17(9): 365, 1994.

    Article  Google Scholar 

  13. F. Schwenker, F. T. Sommer, and G. Palm. Iterative retrieval of sparsely coded associative memory patterns. Neural Networks, 9(3): 445–455, 1996.

    Article  Google Scholar 

  14. F. T. Sommer and G. Palm. Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. Submitted to Neural Networks, 1997.

    Google Scholar 

  15. F. T. Sommer and G. Palm. Bidirectional retrieval from associative memory. In Neural Information Processing Systems 10. Lawrence Erlbaum Ass. Inc., 1998.

    Google Scholar 

  16. K. Steinbuch. Die Lernmatrix. Kybernetik, 1: 36–45, 1961.

    Article  Google Scholar 

  17. Y. F. Wang, J. B. Cruz, and J. H. Mulligan. Two coding stragegies for bidirectional associative memory. IEEE Trans. Neural Networks, 1(1): 81–92, 1990.

    Article  CAS  Google Scholar 

  18. D. J. Willshaw, O. P. Buneman, and H. C. Longuet-Higgins. Nonholographic associative memory. Nature, 222: 960–962, 1969.

    Article  PubMed  CAS  Google Scholar 

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Sommer, F.T., Wennekers, T., Palm, G. (1998). Bidirectional Completion of Cell Assemblies in The Cortex. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4831-7_88

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  • DOI: https://doi.org/10.1007/978-1-4615-4831-7_88

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7190-8

  • Online ISBN: 978-1-4615-4831-7

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