2009 Special Issue: A phase code for memory could arise from circuit mechanisms in entorhinal cortex

  • Authors:

  • Michael E. Hasselmo;Mark P. Brandon;Motoharu Yoshida;Lisa M. Giocomo;James G. Heys;Erik Fransen;Ehren L. Newman;Eric A. Zilli

  • Affiliations:

  • Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States;Center for Memory and Brain, Department of Psychology and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, United States

  • Venue:
  • Neural Networks
  • Year:
  • 2009

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Abstract

Neurophysiological data reveals intrinsic cellular properties that suggest how entorhinal cortical neurons could code memory by the phase of their firing. Potential cellular mechanisms for this phase coding in models of entorhinal function are reviewed. This mechanism for phase coding provides a substrate for modeling the responses of entorhinal grid cells, as well as the replay of neural spiking activity during waking and sleep. Efforts to implement these abstract models in more detailed biophysical compartmental simulations raise specific issues that could be addressed in larger scale population models incorporating mechanisms of inhibition.