The accurate recall of an event is usually dependent on a memory trace that encodes three pieces of information; what happened, when the event happened, and where. The established phenomenology of hippocampal CA1 pyramidal neurons could reflect mechanisms via which some of this information (where and what) is encoded; but so far there has been little evidence for a mechanism by which these cells might represent "when." It was therefore of interest to examine the activity of CA1 neurons over a substantial temporal duration. Forty-eight CA1 neurons were recorded once an hour during long (24-48 h) exposures to a single, stable environment where minimal time-of-day cues were available. Only data from the first 25 h of recording was analyzed quantitatively. We found that the mean ensemble firing rate of these cells changed predictably such that it was closely correlated (r = 0.707) to a reference sine wave with a 25-h period and a positive peak at recording start. This relationship was not explained by changes in the animal's running speed or amount of the recording environment covered in each recording session. When data were referenced to the onset or offset of the normal light-on period, the correlation with the sinusoid was abolished. At an individual cell level, the majority of neurons (n = 31) had significant correlations (P < 0.05) with the reference sine. We conclude that the firing rate of a large proportion of cells in area CA1 of the hippocampus are modulated over a circadian period but that this modulation is not entrained to light. Rather, entry into the environment and the associated food availability appear to be the entraining factors. We hypothesize that these neurons may be part of the putative food-entrainable oscillator. Such a system could enable an animal to discriminate between spatial representations on a temporal dimension with reference to the time of food availability.

The entorhinal cortex contains neurons that represent self-location, including grid cells that fire in periodic locations and velocity signals that encode running speed and head direction. While the size and shape of the environment influences grid patterns, whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments remains unknown. Here, we report that speed cells rescale after changes to the size and shape of the environment. Moreover, head direction cells reorganize in an experience-dependent manner to align with the axis of environmental change. A knockout mouse model allows a dissociation of the coordination between cell types, with grid and speed, but not head direction, cells responding in concert to environmental change. These results point to malleability in the coding features of multiple entorhinal cell types and have implications for which cell types contribute to the velocity signal used by computational models of grid cells.

The hippocampal formation plays a critical role in the generation of episodic memory. While the encoding of the spatial and contextual components of memory have been extensively studied, how the hippocampus encodes temporal information, especially at long time intervals, is less well understood. The activity of place cells in hippocampus has previously been shown to be modulated at a circadian time-scale, entrained by a behavioral stimulus, but not entrained by light. The experimental procedures used in the previous study of this phenomenon, however, necessarily conflated two alternative entraining stimuli, the exposure to the recording environment and the availability of food, making it impossible to distinguish between these possibilities. Here we demonstrate that the frequency of theta-band hippocampal EEG varies with a circadian period in freely moving animals and that this periodicity mirrors changes in the firing rate of hippocampal neurons. Theta activity serves, therefore, as a proxy of circadian-modulated hippocampal neuronal activity. We then demonstrate that the frequency of hippocampal theta driven by stimulation of the reticular formation also varies with a circadian period. Because this effect can be observed without having to feed the animal to encourage movement we were able to identify what stimulus entrains the circadian oscillation. We show that with reticular-activated recordings started at various times of the day the frequency of theta varies quasi-sinusoidally with a 25 h period and phase-aligned when referenced to the animal’s regular feeding time, but not the recording start time. Furthermore, we show that theta frequency consistently varied with a circadian period when the data obtained from repeated recordings started at various times of the day were referenced to the start of food availability in the recording chamber. This pattern did not occur when data were referenced to the start of the recording session or to the actual time of day when this was not also related to feeding time. This double dissociation demonstrates that hippocampal theta is modulated with a circadian timescale, and that this modulation is strongly entrained by food. One interpretation of this finding is that the hippocampus is responsive to a food entrainable oscillator (FEO) that might modulate foraging behavior over circadian periods.

The entorhinal cortex contains neural signals for representing self-location, including grid cells that fire in periodic locations and velocity signals that encode an animal's speed and head direction. Recent work revealed that the size and shape of the environment influences grid patterns. Whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments remains unknown. Here, we report that changes to the size and shape of the environment result in re-scaling in entorhinal speed codes. Moreover, head direction cells re-organize in an experience-dependent manner to align with the axis of environmental change. A knockout mouse model allows a dissociation of the coordination between cell types, with grid and speed, but not head direction, cells responding in concert to environmental change. These results align with predictions of grid cell attractor models and point to inherent flexibility in the coding features of multiple functionally-defined entorhinal cell types.