Abstract

There has been considerable interest in the importance of oscillations in the brain and in how these oscillations relate to the firing of single neurons. Recently a number of studies have shown that the spiking of individual neurons in the medial prefrontal cortex (mPFC) become entrained to the hippocampal (HPC) theta rhythm. We recently showed that theta-entrained mPFC cells lost theta-entrainment specifically on error trials even though the firing rates of these cells did not change (Hyman et al., 2010). This implied that the level of HPC theta-entrainment of mPFC units was more predictive of trial outcome than differences in firing rates and that there is more information encoded by the mPFC on working memory tasks than can be accounted for by a simple rate code. Nevertheless, the functional meaning of mPFC entrainment to HPC theta remains a mystery. It is also unclear as to whether there are any differences in the nature of the information encoded by theta-entrained and non-entrained mPFC cells. In this review we discuss mPFC entrainment to HPC theta within the context of previous results as well as provide a more detailed analysis of the Hyman et al. (2010) data set. This re-analysis revealed that theta-entrained mPFC cells selectively encoded a variety of task-relevant behaviors and stimuli while never theta-entrained mPFC cells were most strongly attuned to errors or the lack of expected rewards. In fact, these error responsive neurons were responsible for the error representations exhibited by the entire ensemble of mPFC neurons. A theta reset was also detected in the post-error period. While it is becoming increasingly evident that mPFC neurons exhibit correlates to virtually all cues and behaviors, perhaps phase-locking directs attention to the task-relevant representations required to solve a spatially based working memory task while the loss of theta-entrainment at the start of error trials may represent a shift of attention away from these representations. The subsequent theta reset following error commission, when coupled with the robust responses of never theta-entrained cells, could produce a potent error-evoked signal used to alert the rat to changes in the relationship between task-relevant cues and reward expectations.

Highlights

  • The encoding of information by neural networks was believed to be reflected mainly as changes in the firing rate of neurons

  • Specific task-relevant information is not transferred from the hippocampus to prefrontal units via theta-entrainment While theta-entrained prefrontal units do encode task-relevant information more than never theta-entrained cells, there are no differences in firing rates when theta-entrainment is lost on incorrect trials

  • Working memory task require the successful integration of these two representations, which likely occurs via theta interactions because only theta interactions are impaired on incorrect trials while the representations in each area appear unaffected

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Summary

Introduction

The encoding of information by neural networks was believed to be reflected mainly as changes in the firing rate of neurons. In the case of the medial prefrontal cortex (mPFC) increases in firing rates encode information about cues, responses, and task general rules as well as maintaining an active representation of recently. Prefrontal cortex–HPC theta interactions on correct trials Previous studies have shown that prefrontal ensembles contain egocentric representations of the rat’s current experience, while hippocampal ensembles represent allocentric information about the state of the world. Prefrontal unit post-error commission discharges A group of mPFC neurons that were never theta-entrained had a significant increase in firing rates ∼400 ms after an error response. These same cells were more selective for error trials than theta-entrained cells. When these cells are included in mPFC ensemble activity state analysis there is significantly more separation between correct and error responses than when they are not included

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