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The Journal of Neurophysiology Vol. 87 No. 6 June 2002, pp. 2629-2642
Copyright ©2002 by the American Physiological Society
1RIKEN, Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198 Japan; 2Division of Neural Systems, Memory and Aging, University of Arizona, Tucson, Arizona 85724; and 3Japan Science and Technology Program, Core Research for the Evolutional Science and Technology Program (CREST); and 4Tokyo Denki University, Hatoyama, Saitama 350-0394, Japan
Yamaguchi, Yoko,
Yoshito Aota,
Bruce L. McNaughton, and
Peter Lipa.
Bimodality of Theta Phase Precession in Hippocampal Place
Cells in Freely Running Rats. J. Neurophysiol. 87: 2629-2642, 2002. The firing of hippocampal principal cells
in freely running rats exhibits a progressive phase retardation as the
animal passes through a cell's "place" field. This "phase
precession" is more complex than a simple linear shift of phase with
position. In the present paper, phase precession is quantitatively
analyzed by fitting multiple (1-3) normal probability density
functions to the phase versus position distribution of spikes in rats
making repeated traversals of the place fields. The parameters were
estimated by the Expectation Maximization method. Three data sets
including CA1 and DG place cells were analyzed. Although the
phase-position distributions vary among different cells and regions,
this complexity is well described by a superposition of two normal
distribution functions, suggesting that the firing behavior consists of
two components. This conclusion is supported by the existence of two distinct maxima in the mean spike density in the phase versus position
plane. In one component, firing phase shifts over a range of about
180°. The second component, which occurs near the end of the
traversal of the place field, exhibits a low correlation between phase
and position and is anti-phase with the phase-shift component. The
functional implications of the two components are discussed with
respect to their possible contribution to learning and memory mechanisms.
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