Theta Phase Precession Enhance Single Trial Learning in an STDP Network
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.
Unable to display preview. Download preview PDF.
- 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
- 10.Magee, J.C.: Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons. Journal of Neurophysiology 86 (2001) 528–532.Google Scholar
- 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