A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning

By Michael E. Hasselmo, Clara Bodelón, B. Wyble. Neural Computation, 2002

896 citations recorded by the source corpus.

The theta rhythm appears in the rat hippocampal electroencephalogram during exploration and shows phase locking to stimulus acquisition. Lesions that block theta rhythm impair performance in tasks requiring reversalofpriorlearning, includingreversalinaT-maze, whereassociations between one arm location and food reward need to be extinguished in favor of associations between the opposite arm location and food reward. Here, a hippocampal model shows how theta rhythm could be important for reversal in this task by providing separate functional phases during each 100-300 msec cycle, consistent with physiological data. In the model, effective encoding of new associations occurs in the phase when synaptic input from entorhinal cortex is strong and long-term potentiation (LTP) of excitatory connections arising from hippocampal region CA3 is strong, but synaptic currents arising from region CA3 input are weak (to prevent interference from prior learned associations). Retrieval of old associations occurs in the phase when entorhinal input is weak and synaptic input from region CA3 is strong, but when depotentiation occurs at synapses from CA3 (to allow extinction of prior learned associations that do not match current input). These phasic changes require that LTP at synapses arising from region CA3 should be strongest at the phase when synaptic transmission at these synapses is weakest. Consistent with these requirements, our recent data show that synaptic transmission in stratum radiatum is weakest at the positive peak of local theta, which is when previous data show that induction of LTP is strongest in this layer.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/6e0737b49ad276d264fe17b5c8d561d3dfcdd081

How researchers see this paper

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In Cellular and Molecular Neuroscience

  1. György Buzsáki
  2. Edvard I. Moser
  3. H. Scharfman
  4. Michael E. Hasselmo
  5. May-Britt Moser
  6. Catherine E. Myers
  7. James J. Knierim
  8. Neil Burgess

In Cognitive Neuroscience

  1. György Buzsáki
  2. Edvard I. Moser
  3. Neil Burgess
  4. Michael E. Hasselmo
  5. Xiao-Jing Wang
  6. H. Scharfman
  7. May-Britt Moser
  8. James J. Knierim

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