Theta Phase Precession Enhance Single Trial Learning in an STDP Network

  • Enhua Shen
  • Rubin Wang
  • Zhikang Zhang


Theta phase precession is an interesting phenomenon in hippocampusand may enhance learning and memory. Based on Harris KD et al. and Magee JC’s electrophysiology experiments, a biology plausible spiking neuron model for theta phase precession was proposed. The model is both simple enough for constructing large scale network and realistic enough to match the biology context. The numerical results of our model were shown in this paper. The model can capture the main attributes of experimental result. The relationship of phase shift with place shift in experiment was well repeated in our model. An STDP network constructed with our model neurons can memorize place sequence after single time learning with high accuracy. Such a model can mimic the biological phenomenon of theta phase precession, and preserve the main physiology factors underline theta phase precession.


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  1. 1.
    O’Keefe, J., Recce, M.L.: Phase Relationship Between Hippocampal Place Units and the EEG Theta Rhythm. Hippocampus 3 (1993) 317–330.PubMedCrossRefGoogle Scholar
  2. 2.
    Skaggs, W.E., McNaughton, B.L., Wilson, M.A., Barnes, C.A.: Theta Phase Precession in Hippocampal Neuronal Populations and the Compression of Temporal Sequences. Hippocampus 6 (1996) 149–172.PubMedCrossRefGoogle Scholar
  3. 3.
    Yamaguchi, Y.: A Theory of Hippocampal Memory Based on Theta Phase Precession. Biological Cybernetics 89 (2003) 1–9.PubMedGoogle Scholar
  4. 4.
    Tsodyks, M.V., Skaggs, W.E., Sejnowski, T.J., McNaughton, B.L.: Population Dynamics and Theta Rhythm Phase Precession of Hippocampal Place Cell Firing: a Spiking Neuron Model. Hippocampus 6 (1996) 271–280.PubMedCrossRefGoogle Scholar
  5. 5.
    Jensen, O., Lisman, J.E.: Hippocampal CA3 Region Predicts Memory Sequences: Accounting for the Phase Precession of Place Cells. Learning Memory 3 (1996) 279–287.PubMedCrossRefGoogle Scholar
  6. 6.
    Wallenstein, G.V., Hasselmo, M.E.: GABAergic Modulation of Hippocampal Population Activity: Sequence Learning, Place Field Development and the Phase Precession Effect. Journal of Neurophysiology 78 (1997) 393–408.PubMedGoogle Scholar
  7. 7.
    Samsonovich, A., McNaughton, B.L.: Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model. Journal of Neurophysiology 17 (1997) 5900–5920.Google Scholar
  8. 8.
    Bose, A., Booth, V., Recce, M.: A Temporal Mechanism for Generating the Phase Precession of Hippocampal Place Cells. Journal of Computational Neuroscience 9 (2000)5–30.PubMedCrossRefGoogle Scholar
  9. 9.
    Harris, K.D., Henze, D.A., Hirase, H., Leinekugel, X., Dragoi, G., Czurko, A., Buzsaki, G.: Spike Train Dynamics Predicts Theta Related Phase Precession in Hippocampal Pyramidal Cells. Nature, 417 (2002) 738–741.PubMedCrossRefGoogle Scholar
  10. 10.
    Magee, J.C.: Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons. Journal of Neurophysiology 86 (2001) 528–532.Google Scholar
  11. 11.
    Kamondi, A., Acsady, L., Wang, X.J., Buzsaki, G.: Theta Oscillations in Soma and Dendrites of Hippocampal Pyramidal Cells in vivo: Activity-Dependent Phase-Precession of Action Potentials. Hippocampus 8 (1998) 244–261.PubMedCrossRefGoogle Scholar
  12. 12.
    Shen, E.-H., Wang, R.-B., Zhang, Z.-K., Peng, J.-H.: A Spiking Neuron Model of Theta Phase Precession. In: Jiao, L., Wang, L., Gao, X. Liu, J., Wu, F. (eds.): Advances in Natural Computation. Lecture Notes in Computer Science, Vol. 4221. Springer-Verlag, Berlin Heidelberg (2006) 214–223.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Enhua Shen
    • 1
  • Rubin Wang
  • Zhikang Zhang
  1. 1.Institute for Brain Information Processing and CognitiveNeurodynamicsCollege of Information Science and Engineering EastChina University of Science and TechnologyChina

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